big O notation text specification maths specification IAO_0000310s IAO_0000310 IAO:0000310 document OntoDM_0000045s OntoDM_0000045 OntoDM-core:OntoDM_0000045 SubBag OntoDM_000031s OntoDM_000031 OntoDM-core:OntoDM_000031 a dataset specification is a data item specification about a dataset defined with a datatype specification of the data examples aggregated in the dataset. dataset specification OntoDM_000034s OntoDM_000034 OntoDM-core:OntoDM_000034 Generalization specification of a directive informational entity class that specifies the type of generalization. It includes information about the types of data used to produced the generalization and the language in which the generalization is expressed. represents class of generalizations as in Dzeroski paper generalization specification OntoDM_000037s OntoDM_000037 OntoDM-core:OntoDM_000037 A ensemble of generalizations specification is a generalization specification and denotes a type of generalization that is produced by a ensemble algorithm. This algorithm produces a set of generalizations at its output. ensemble specification OntoDM_000038s OntoDM_000038 OntoDM-core:OntoDM_000038 A data mining algorithm is an algorithm that solves a data mining task and as a results outputs a generalization. It is usually published in some document (journal publication or technical report). data mining algorithm OntoDM_000041s OntoDM_000041 OntoDM-core:OntoDM_000041 bootstrap sampling process OntoDM_000072s OntoDM_000072 OntoDM-core:OntoDM_000072 Clustering algorithm is a data mining algorithm that solves a clustering task and as a result produces a clustering. clustering algorithm OntoDM_000078s OntoDM_000078 OntoDM-core:OntoDM_000078 A patten specification is a single generalization specification and denotes a pattern P on type T which is a boolean funtion on objects of type T. pattern specification OntoDM_000087s OntoDM_000087 OntoDM-core:OntoDM_000087 The task of estimating the joint probability distribution involves constructing a probability disctribution given a set of data of a certain datatype. batch probability distribution estimation task OntoDM_000092s OntoDM_000092 OntoDM-core:OntoDM_000092 The task of pattern discovery is to find all local patterns from a given pattern language that satisfy the required conditions. batch pattern discovery task OntoDM_000098s OntoDM_000098 OntoDM-core:OntoDM_000098 A data mining task is an objective specification that specifies the objective that a data mining algorithm needs to achieve when executed on a dataset to produce as output a generalization. data mining task OntoDM_000112s OntoDM_000112 OntoDM-core:OntoDM_000112 Clustering specification is a single generalization specification is a generalization specification and denotes a type of generalization that models the mapping of a set of objects S of type T from S to a set of natural numbers {1,...K}. This generalization is obtained by appliing a clustering algorithm on a set of data. clustering specification OntoDM_000143s OntoDM_000143 OntoDM-core:OntoDM_000143 dataset sampling OntoDM_000149s OntoDM_000149 OntoDM-core:OntoDM_000149 holdout sampling process OntoDM_000160s OntoDM_000160 OntoDM-core:OntoDM_000160 Predictive modeling algorithm is a data mining algorithm that solves a predictive modeling task and as a result produces a predictive model. predictive modeling algorithm OntoDM_000192s OntoDM_000192 OntoDM-core:OntoDM_000192 Pattern discovery algorithm is a data mining algorithm that solves a pattern discovery task and as a result produces a set of patterns. pattern discovery algorithm OntoDM_000228s OntoDM_000228 OntoDM-core:OntoDM_000228 predictive model specification is a single generalization specification and denotes a type of generalization that represents a mapping taking objects of type Td and returns objects of type To. predictive model specification OntoDM_000253s OntoDM_000253 OntoDM-core:OntoDM_000253 Probability distribution estimation algorithm is a data mining algorithm that solves a probability distribution estimation task and as a result produces a probability distribution. probability distribution estimation algorithm OntoDM_000255s OntoDM_000255 OntoDM-core:OntoDM_000255 cross validation sampling process OntoDM_000264s OntoDM_000264 OntoDM-core:OntoDM_000264 The task of clustering in general is concerned with grouping objects into classes of similar objects. Given a set of examples (object descriptions), the task of clustering is to partition these examples into subsets, called clusters. batch clustering task OntoDM_000285s OntoDM_000285 OntoDM-core:OntoDM_000285 A probability distribution specification is a single generalization specification and denotes a type of generalization that is a mapping from objects of type T to non-negative reals. This generalization is an output of a probability distribution estimation algorithm. probability distribution specification OntoDM_001334s OntoDM_001334 OntoDM-core:OntoDM_001334 Regression algorithm is a data mining algorithm that solves a regression task and as a result produces a regression model. regression algorithm OntoDM_003932s OntoDM_003932 OntoDM-core:OntoDM_003932 A predictive model for primitive output is a predictive model specification and denotes predictive models that are built on data having primitive datatype on the output part. predictive model for primitive output OntoDM_020420s OntoDM_020420 OntoDM-core:OntoDM_020420 LCPN DAG-based hierarchical classification algorithm is a data mining algorithm that solves a DAG-based hierarchical classification task and as a result produces a hierarchical classification model using a local classifier per parent node (LCPN) approach. LCPN DAG based HC algorithm OntoDM_036834s OntoDM_036834 OntoDM-core:OntoDM_036834 LCPN tree-based hierarchical classification algorithm for multiple path and mandatory leaf node prediction is a data mining algorithm that solves a tree-based hierarchical classification task with multiple label paths and full depth labeling and as a result produces a hierarchical classification model using a local classifier per parent node (LCPN) approach. LPCN tree based HC algorithm for multiple path and mandatory leaf node prediction OntoDM_039503s OntoDM_039503 OntoDM-core:OntoDM_039503 A binary classification model is a classification model and denotes predictive models that are built on data having a boolean datatype on the output part, and set of features (represented by a descriptive tuple of primitives) on the descriptive part. binary classification model OntoDM_056700s OntoDM_056700 OntoDM-core:OntoDM_056700 DAG based hierarchical classification task with multiple label paths and full depth labeling is a DAG based hierarchical classification task where the objective is to predict a set of labels organized in a DAG (represented with a output DAG with boolean edges and discrete nodes) from a set of features (represented by a descriptive tuple of primitives datatype), where the data instances are allowed to have multiple paths of labels and all instances have full depth of labeling. DAG based hierarchical classification task with multiple label paths and full depth labeling OntoDM_057491s OntoDM_057491 OntoDM-core:OntoDM_057491 DAG based hierarchical classification task with single label paths is a DAG based hierarchical classification task where the objective is to predict a set of labels organized in a DAG (represented with a output DAG with boolean edges and discrete nodes) from a set of features (represented by a descriptive tuple of primitives datatype), where the data instances are allowed to have single paths of labels. DAG based hierarchical classification task with single label paths OntoDM_063973s OntoDM_063973 OntoDM-core:OntoDM_063973 DAG-based hierarchical classification dataset is a dataset specification of a labeled dataset with tuple of primitives datatype (specified with the feature set specification) on the descriptive part and a labeled DAG datatype with boolean edges and discrete nodes on the output part of the data. DAG-based hierarchical classification dataset OntoDM_067028s OntoDM_067028 OntoDM-core:OntoDM_067028 Multi-target binary classification model is a multi-target classification model and denotes predictive models that are built on data having a tuple of boolean (set of output features) on the output part, and set of features (represented by a descriptive tuple of primitives) on the descriptive part. multi-target binary classification model OntoDM_071450s OntoDM_071450 OntoDM-core:OntoDM_071450 LCL DAG-based hierarchical classification algorithm is a data mining algorithm that solves a DAG-based hierarchical classification task and as a result produces a hierarchical classification model using a local classifier per level (LCL) approach. LCL DAG based HC algorithm OntoDM_078701s OntoDM_078701 OntoDM-core:OntoDM_078701 transactional dataset is a dataset specification of unlabeled dataset with a set of discrete datatype on the descriptive part of the data. transactional dataset OntoDM_081165s OntoDM_081165 OntoDM-core:OntoDM_081165 LCN tree-based hierarchical classification algorithm for multiple path prediction is a data mining algorithm that solves a tree-based hierarchical classification task with multiple label paths and as a result produces a hierarchical classification model using a local classifier per node (LCN) approach. LCN tree based HC algorithm for multiple path prediction OntoDM_086891s OntoDM_086891 OntoDM-core:OntoDM_086891 LCL DAG-based hierarchical classification algorithm for single path and mandatory leaf node prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with single label paths and full depth labeling and as a result produces a hierarchical classification model using a local classifier per level (LCL) approach. LCL DAG based HC algorithm for single path and mandatory leaf node prediction OntoDM_099826s OntoDM_099826 OntoDM-core:OntoDM_099826 predictive models ensemble specification is a ensemble specification and denotes a type of generalization that is produced by a predictive model ensemble algorithm. This algorithm produces a collection of predictive models at its output. predictive models ensemble specification OntoDM_104594s OntoDM_104594 OntoDM-core:OntoDM_104594 LCN DAG-based hierarchical classification algorithm for single path prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with single label paths and as a result produces a hierarchical classification model using a local classifier per node (LCN) approach. LCN DAG based HC algorithm for single path prediction OntoDM_107836s OntoDM_107836 OntoDM-core:OntoDM_107836 Hierarchical classification model is afeature-based predictive model for structured output and denotes predictive models that are built on data having a labeled graph datatype on the output part, and set of features (represented by a descriptive tuple of primitives) on the descriptive part. hierarchical classification model OntoDM_108244s OntoDM_108244 OntoDM-core:OntoDM_108244 Multi-class classification is a data mining algorithm that solves a multi-class classification task and as a result produces a multi-class classification model. multi-class classification algorithm OntoDM_108452s OntoDM_108452 OntoDM-core:OntoDM_108452 GC DAG based HC algorithm for multiple path and mandatory leaf node prediction OntoDM_112772s OntoDM_112772 OntoDM-core:OntoDM_112772 A classification model is a feature-based predictive model for primitive output and denotes predictive models that are built on data having boolean or discrete datatype on the output part, and set of features (represented by a descriptive tuple of primitives) on the descriptive part. classification model OntoDM_114697s OntoDM_114697 OntoDM-core:OntoDM_114697 Multi-target prediction task is a feature-based structured output prediction task where the objective is to predict a set of features (represented with a output tuple of primitives datatype) from a set of features (represented by a descriptive tuple of primitives datatype). supervised multi-target prediction task OntoDM_135761s OntoDM_135761 OntoDM-core:OntoDM_135761 GC DAG-based hierarchical classification algorithm for single path prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with single label paths and as a result produces a hierarchical classification model using a global classifier (GC) approach. GC DAG based HC algorithm for single path prediction OntoDM_136533s OntoDM_136533 OntoDM-core:OntoDM_136533 Multi-target regression tree is a multi-target regression model and denotes predictive models that are built on data having a tuple of reals (set of output features) on the output part, set of features (represented by a descriptive tuple of primitives) on the descriptive part, and is expressed in the language of decision trees. multi-target regression tree OntoDM_139258s OntoDM_139258 OntoDM-core:OntoDM_139258 Multi-label decision tree is a multi-label classification model and denotes predictive models that are built on data having a set of discrete datatype on the output part, set of features (represented by a descriptive tuple of primitives) on the descriptive part, and it is expressed in the language of decision trees. multi-label decision tree OntoDM_155699s OntoDM_155699 OntoDM-core:OntoDM_155699 Binary classification is a data mining algorithm that solves a binary classification task and as a result produces a binary classification model. binary classification algorithm OntoDM_157687s OntoDM_157687 OntoDM-core:OntoDM_157687 A structure-based predictive model for structured output is a predictive model specification and denotes predictive models that are built on data having structured datatype on the output part, and a structured datatype on the descriptive part. structure-based predictive model for structured output OntoDM_165764s OntoDM_165764 OntoDM-core:OntoDM_165764 A feature-based predictive model for structured output is a predictive model specification and denotes predictive models that are built on data having a structured datatype on the output part, and set of features (represented by a descriptive tuple of primitives) on the descriptive part. feature-based predictive model for structured output OntoDM_169891s OntoDM_169891 OntoDM-core:OntoDM_169891 unlabeled structure-based dataset is a dataset specification of unlabeled dataset with a structured descriptive datatype specification. structure-based unlabeled dataset OntoDM_171503s OntoDM_171503 OntoDM-core:OntoDM_171503 Flat classification algorithm is a data mining algorithm that solves a classification task and as a result produces a classification model. flat classification algorithm OntoDM_174112s OntoDM_174112 OntoDM-core:OntoDM_174112 LCPN tree-based hierarchical classification algorithm for multiple path prediction is a data mining algorithm that solves a tree-based hierarchical classification task with multiple label paths and as a result produces a hierarchical classification model using a local classifier per parent node (LCPN) approach. LPCN tree based HC algorithm for multiple path prediction OntoDM_180345s OntoDM_180345 OntoDM-core:OntoDM_180345 LCN DAG-based hierarchical classification algorithm for multiple path prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with multiple label paths and as a result produces a hierarchical classification model using a local classifier per node (LCN) approach. LCN DAG based HC algorithm for multiple path prediction OntoDM_201436s OntoDM_201436 OntoDM-core:OntoDM_201436 parameter specification is a specification entity that is about a parameter. parameter specification OntoDM_205203s OntoDM_205203 OntoDM-core:OntoDM_205203 Feature-based primitive output prediction task is a predicting primitive output task where the objective is to predict a primitive output (represented with a primitive datatype) from a set of features (represented by a descriptive tuple of primitives datatype). supervised feature-based primitive output prediction task OntoDM_207566s OntoDM_207566 OntoDM-core:OntoDM_207566 A feature-based predictive model for primitive output is a predictive model specification and denotes predictive models that are built on data having primitive datatype on the output part, and set of features (represented by a descriptive tuple of primitives) on the descriptive part. feature-based predictive model for primitive output OntoDM_208012s OntoDM_208012 OntoDM-core:OntoDM_208012 Time-series prediction task is a feature-based structured output prediction task where the objective is to predict a time series (represented with a output sequence of real datatype) from a set of features (represented by a descriptive tuple of primitives datatype). supervised time-series prediction task OntoDM_208659s OntoDM_208659 OntoDM-core:OntoDM_208659 binary classification task is a flat classification task where the objective is to predict a boolean output (represented with a boolean datatype) from a set of features (represented by a descriptive tuple of primitives datatype). supervised binary classification task OntoDM_213136s OntoDM_213136 OntoDM-core:OntoDM_213136 GC DAG-based hierarchical classification algorithm is a data mining algorithm that solves a DAG-based hierarchical classification task and as a result produces a hierarchical classification model using a global classifier (GC) approach. GC DAG based HC algorithm OntoDM_221045s OntoDM_221045 OntoDM-core:OntoDM_221045 LCN DAG-based hierarchical classification algorithm for single path and mandatory leaf node prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with single label paths and full depth labeling and as a result produces a hierarchical classification model using a local classifier per parent node (LCPN) approach. LCPN DAG based HC algorithm for single path and mandatory leaf node prediction OntoDM_225681s OntoDM_225681 OntoDM-core:OntoDM_225681 Multi-target prediction model is afeature-based predictive model for structured output and denotes predictive models that are built on data having a tuple of primitives (set of output features) on the output part, and set of features (represented by a descriptive tuple of primitives) on the descriptive part. multi-target prediction model OntoDM_231548s OntoDM_231548 OntoDM-core:OntoDM_231548 Multi-target binary classification task is a multi-target classification task where the objective is to predict a set of binary features (represented with a output tuple of booleans ) from a set of features (represented by a descriptive tuple of primitives datatype). supervised multi-target binary classification OntoDM_232231s OntoDM_232231 OntoDM-core:OntoDM_232231 LCPN DAG-based hierarchical classification algorithm for multiple path prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with multiple label paths and as a result produces a hierarchical classification model using a local classifier per parent node (LCPN) approach. LCPN DAG based HC algorithm for multiple path prediction OntoDM_242219s OntoDM_242219 OntoDM-core:OntoDM_242219 predicting primitive output task is a predictive modeling task where the objective is to predict a primitive output (represented with a primitive datatype). supervised primitive output prediction task OntoDM_246907s OntoDM_246907 OntoDM-core:OntoDM_246907 Tree based hierarchical classification task with single label paths and partial depth labeling is a tree based hierarchical classification task where the objective is to predict a set of labels organized in a tree (represented with a output tree with boolean edges and discrete nodes) from a set of features (represented by a descriptive tuple of primitives datatype), where the data instances are allowed to have single paths of labels and at least one instance has a partial depth of labeling. tree-based hierarchical classification task with single label paths and partial depth labeling OntoDM_247241s OntoDM_247241 OntoDM-core:OntoDM_247241 Multi-label classification model is afeature-based predictive model for structured output and denotes predictive models that are built on data having a set of discrete datatype on the output part, and set of features (represented by a descriptive tuple of primitives) on the descriptive part. multi-label classification model OntoDM_251508s OntoDM_251508 OntoDM-core:OntoDM_251508 LCPN tree-based hierarchical classification algorithm for multiple path and non-mandatory leaf node prediction is a data mining algorithm that solves a tree-based hierarchical classification task with multiple label paths and partial depth labeling and as a result produces a hierarchical classification model using a local classifier per parent node (LCPN) approach. LPCN tree based HC algorithm for single path and non-mandatory leaf node prediction OntoDM_257039s OntoDM_257039 OntoDM-core:OntoDM_257039 flat classification dataset is a dataset specification of a labeled dataset with tuple of primitives datatype (specified with the feature set specification) on the descriptive part and a boolean or discrete datatype on the output part of the data (specified with the feature specification). flat classification dataset OntoDM_257366s OntoDM_257366 OntoDM-core:OntoDM_257366 LCN tree-based hierarchical classification algorithm for multiple path and non-mandatory leaf node prediction is a data mining algorithm that solves a tree-based hierarchical classification task with multiple label paths and partial depth labeling and as a result produces a hierarchical classification model using a local classifier per node (LCN) approach. LCN tree based HC algorithm for single path and non-mandatory leaf node prediction OntoDM_280661s OntoDM_280661 OntoDM-core:OntoDM_280661 A regression tree is a regression model and denotes predictive models that are built on data having a real datatype on the output part, set of features (represented by a descriptive tuple of primitives) on the descriptive part, and it is expressed in the language of decision trees. regression tree OntoDM_281640s OntoDM_281640 OntoDM-core:OntoDM_281640 DAG based hierarchical classification task with single label paths and partial depth labeling is a DAG based hierarchical classification task where the objective is to predict a set of labels organized in a DAG (represented with a output DAG with boolean edges and discrete nodes) from a set of features (represented by a descriptive tuple of primitives datatype), where the data instances are allowed to have single paths of labels and at least one instance has a partial depth of labeling. DAG based hierarchical classification task with single label paths and partial depth labeling OntoDM_295724s OntoDM_295724 OntoDM-core:OntoDM_295724 Structure-based predictive modeling algorithm for structured output is a data mining algorithm that solves a structure-based structured output prediction task and as a result produces a structure-based predictive model for structured output. structure-based predictive modeling algorithm for structured output OntoDM_300937s OntoDM_300937 OntoDM-core:OntoDM_300937 GC tree-based hierarchical classification algorithm for single path prediction is a data mining algorithm that solves a tree-based hierarchical classification task with single label paths and as a result produces a hierarchical classification model using a global classifier (GC) approach. GC tree based HC algorithm for single path prediction OntoDM_308048s OntoDM_308048 OntoDM-core:OntoDM_308048 hierarchical classification dataset is a dataset specification of a labeled dataset with tuple of primitives datatype (specified with the feature set specification) on the descriptive part and a labeled tree with boolean edges and discrete nodes datatype on the output part of the data. tree-based hierarchical classification dataset OntoDM_311225s OntoDM_311225 OntoDM-core:OntoDM_311225 DAG-based hierarchical classification algorithm is a data mining algorithm that solves a DAG-based hierarchical classification task and as a result produces a hierarchical classification model. DAG based HC algorithm OntoDM_316568s OntoDM_316568 OntoDM-core:OntoDM_316568 A binary decision tree is a binary classification model and denotes predictive models that are built on data having a boolean datatype on the output part, set of features (represented by a descriptive tuple of primitives) on the descriptive part, and it is expressed in the language of decision trees. binary decision tree OntoDM_318626s OntoDM_318626 OntoDM-core:OntoDM_318626 Pattern set ensemble specification is a ensemble specification and denotes a type of generalization that is produced by a pattern set ensemble algorithm. This algorithm produces a collection of pattern sets at its output. pattern set ensemble specification OntoDM_319168s OntoDM_319168 OntoDM-core:OntoDM_319168 LCL DAG-based hierarchical classification algorithm for multiple path prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with multiple label paths and as a result produces a hierarchical classification model using a local classifier per level (LCL) approach. LCL DAG based HC algorithm for multiple path prediction OntoDM_328701s OntoDM_328701 OntoDM-core:OntoDM_328701 LCN DAG-based hierarchical classification algorithm is a data mining algorithm that solves a DAG-based hierarchical classification task and as a result produces a hierarchical classification model using a local classifier per node (LCN) approach. LCN DAG based HC algorithm OntoDM_353154s OntoDM_353154 OntoDM-core:OntoDM_353154 LCN tree-based hierarchical classification algorithm for single path and mandatory leaf node prediction is a data mining algorithm that solves a tree-based hierarchical classification task with single label paths and full depth labeling and as a result produces a hierarchical classification model using a local classifier per node (LCN) approach. LCN tree based HC algorithm for single path and mandatory leaf node prediction OntoDM_354620s OntoDM_354620 OntoDM-core:OntoDM_354620 Feature-based structured output prediction task is a predicting structured output task where the objective is to predict a structured output (represented with a output structured datatype) from a set of features (represented by a descriptive tuple of primitives datatype). supervised feature-based structured output prediction task OntoDM_357792s OntoDM_357792 OntoDM-core:OntoDM_357792 Random Subspaces OntoDM_368254s OntoDM_368254 OntoDM-core:OntoDM_368254 Time-series prediction model is afeature-based predictive model for structured output and denotes predictive models that are built on data having a sequence of reals on the output part, and set of features (represented by a descriptive tuple of primitives) on the descriptive part. time series prediction model OntoDM_368779s OntoDM_368779 OntoDM-core:OntoDM_368779 Predictive modeling ensemble algorithm is a data mining algorithm that solves a predictive modeling task and as a result produces a ensemble of predictive models. predictive modelling ensemble algorithm OntoDM_369100s OntoDM_369100 OntoDM-core:OntoDM_369100 A multi-class decision tree is a multi-class classification model and denotes predictive models that are built on data having a discrete datatype on the output part, set of features (represented by a descriptive tuple of primitives) on the descriptive part, and it is expressed in the language of decision trees. multi-class decision tree OntoDM_372340s OntoDM_372340 OntoDM-core:OntoDM_372340 DAG based hierarchical classification task with multiple label paths is a DAG based hierarchical classification task where the objective is to predict a set of labels organized in a DAG (represented with a output DAG with boolean edges and discrete nodes) from a set of features (represented by a descriptive tuple of primitives datatype), where the data instances are allowed to have multiple paths of labels. DAG based hierarchical classification task with multiple label paths OntoDM_372936s OntoDM_372936 OntoDM-core:OntoDM_372936 labeled dataset is a dataset specification for datasets that have both a descriptive and output specification of the data examples contained in the dataset. labeled dataset OntoDM_373964s OntoDM_373964 OntoDM-core:OntoDM_373964 Tree based hierarchical classification task with multiple label paths and full depth labeling is a tree based hierarchical classification task where the objective is to predict a set of labels organized in a tree (represented with a output treewith boolean edges and discrete nodes) from a set of features (represented by a descriptive tuple of primitives datatype), where the data instances are allowed to have multiple paths of labels and all instances have full depth of labeling. tree-based hierarchical classification task with multiple label paths and full depth labeling OntoDM_374511s OntoDM_374511 OntoDM-core:OntoDM_374511 Time-series prediction decision tree is a time-series prediction model and denotes predictive models that are built on data having a sequence of reals on the output part, set of features (represented by a descriptive tuple of primitives) on the descriptive part, and is expressed in the language of decision trees. time-series prediction decision tree OntoDM_376810s OntoDM_376810 OntoDM-core:OntoDM_376810 LCN tree-based hierarchical classification algorithm for single path and mandatory leaf node prediction is a data mining algorithm that solves a tree-based hierarchical classification task with single label paths and full depth labeling and as a result produces a hierarchical classification model using a local classifier per parent node (LCPN) approach. LPCN tree based HC algorithm for single path and mandatory leaf node prediction OntoDM_382943s OntoDM_382943 OntoDM-core:OntoDM_382943 Predictive modeling algorithm for primitive output is a data mining algorithm that solves a predicting primitive output task and as a result produces a predictive model for primitive output. predictive modeling algorithm for primitive output OntoDM_387728s OntoDM_387728 OntoDM-core:OntoDM_387728 flat classification task is a feature-based primitive output task where the objective is to predict a boolean or discrete output (represented with a boolean or discrete datatype) from a set of features (represented by a descriptive tuple of primitives datatype). supervised flat classification task OntoDM_388961s OntoDM_388961 OntoDM-core:OntoDM_388961 LCL tree-based hierarchical classification algorithm for multiple path prediction is a data mining algorithm that solves a tree-based hierarchical classification task with multiple label paths and as a result produces a hierarchical classification model using a local classifier per level (LCL) approach. LCL tree based HC algorithm for multiple path prediction OntoDM_398436s OntoDM_398436 OntoDM-core:OntoDM_398436 GC tree-based hierarchical classification algorithm is a data mining algorithm that solves a tree-based hierarchical classification task and as a result produces a hierarchical classification model using a global classifier (GC) approach. GC tree-based HC algorithm OntoDM-core:OntoDM_400001 batch data mining task OntoDM-core:OntoDM_400002 online data mining task OntoDM-core:OntoDM_400003 online clustering task OntoDM-core:OntoDM_400004 online pattern discovery task OntoDM-core:OntoDM_400005 online probability distribution estimation task OntoDM_408772s OntoDM_408772 OntoDM-core:OntoDM_408772 LCN DAG-based hierarchical classification algorithm for multiple path and non-mandatory leaf node prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with multiple label paths and partial depth labeling and as a result produces a hierarchical classification model using a local classifier per node (LCN) approach. LCN DAG based HC algorithm for multiple path and non-mandatory leaf node prediction OntoDM_419418s OntoDM_419418 OntoDM-core:OntoDM_419418 Tree-based hierarchical classification algorithm is a data mining algorithm that solves a tree-based hierarchical classification task and as a result produces a hierarchical classification model. tree-based HC algorithm OntoDM_419460s OntoDM_419460 OntoDM-core:OntoDM_419460 A single generalization specification is a generalization specification and denotes a type of generalization that is produced by a single generalization data mining algorithm. This algorithm produces only one generalization at its output. single generalization specification OntoDM_429658s OntoDM_429658 OntoDM-core:OntoDM_429658 Clustering ensemble algorithm is a data mining algorithm that solves a clustering task and as a result produces an ensemble of clusterings. clustering ensemble algorithm OntoDM_433774s OntoDM_433774 OntoDM-core:OntoDM_433774 language of markov chains OntoDM_452759s OntoDM_452759 OntoDM-core:OntoDM_452759 Bagging OntoDM_462575s OntoDM_462575 OntoDM-core:OntoDM_462575 Time-series predictive modeling algorithm is a data mining algorithm that solves a time-series classification task and as a result produces a time series predictive model. time-series predictive modelling algorithm OntoDM_464319s OntoDM_464319 OntoDM-core:OntoDM_464319 LCN tree-based hierarchical classification algorithm is a data mining algorithm that solves a tree-based hierarchical classification task and as a result produces a hierarchical classification model using a local classifier per node (LCN) approach. LCN tree based HC algorithm OntoDM_464484s OntoDM_464484 OntoDM-core:OntoDM_464484 Probability distribution estimation ensemble algorithm is a data mining algorithm that solves a probablility distribution estimation task and as a result produces a ensemble of probability distributions. probability distribution estimation ensemble algorithm OntoDM_467074s OntoDM_467074 OntoDM-core:OntoDM_467074 LCPN DAG-based hierarchical classification algorithm for multiple path and non-mandatory leaf node prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with multiple label paths and partial depth labeling and as a result produces a hierarchical classification model using a local classifier per parent node (LCPN) approach. LCPN DAG based HC algorithm for multiple path and non-mandatory leaf node prediction OntoDM_470460s OntoDM_470460 OntoDM-core:OntoDM_470460 LCPN tree-based hierarchical classification algorithm for single path prediction is a data mining algorithm that solves a tree-based hierarchical classification task with single label paths and as a result produces a hierarchical classification model using a local classifier per parent node (LCPN) approach. LPCN tree based HC algorithm for single path prediction OntoDM_474912s OntoDM_474912 OntoDM-core:OntoDM_474912 LCL tree-based hierarchical classification algorithm for multiple path and non-mandatory leaf node prediction is a data mining algorithm that solves a tree-based hierarchical classification task with multiple label paths and partial depth labeling and as a result produces a hierarchical classification model using a local classifier per level (LCL) approach. LCL tree based HC algorithm for single path and non-mandatory leaf node prediction OntoDM_481568s OntoDM_481568 OntoDM-core:OntoDM_481568 Multi-target multi-class classification model is a multi-target classification model and denotes predictive models that are built on data having a tuple of discrete (set of output features) on the output part, and set of features (represented by a descriptive tuple of primitives) on the descriptive part. multi-target multi-class classification model OntoDM_485256s OntoDM_485256 OntoDM-core:OntoDM_485256 GC DAG-based hierarchical classification algorithm for multiple path prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with multiple label paths and as a result produces a hierarchical classification model using a global classifier (GC) approach. GC DAG based HC algorithm for multiple path prediction OntoDM_490530s OntoDM_490530 OntoDM-core:OntoDM_490530 clusterings ensemble specification is a ensemble specification and denotes a type of generalization that is produced by a clustering ensemble algorithm. This algorithm produces a set of clusterings at its output. clusterings ensemble specification OntoDM_491182s OntoDM_491182 OntoDM-core:OntoDM_491182 DAG based hierarchical classification task is a hierarchical classification task where the objective is to predict a set of labels organized in a DAG (represented with a output DAG with boolean edges and discrete nodes) from a set of features (represented by a descriptive tuple of primitives datatype). supervised DAG based hierarchical classification task OntoDM_495960s OntoDM_495960 OntoDM-core:OntoDM_495960 Multi-target classification model is a multi-target prediction model and denotes predictive models that are built on data having a tuple of boolean or discrete (set of output features) on the output part, and set of features (represented by a descriptive tuple of primitives) on the descriptive part. multi-target classification model OntoDM_506961s OntoDM_506961 OntoDM-core:OntoDM_506961 Multi-target regression task is a multi-target prediction task where the objective is to predict a set of real features (represented with a output tuple of reals) from a set of features (represented by a descriptive tuple of primitives datatype). supervised multi-target regression task OntoDM_507935s OntoDM_507935 OntoDM-core:OntoDM_507935 Hierarchical classification algorithm is a data mining algorithm that solves a hierarchical classification task and as a result produces a hierarchical classification model. hierarchical classification algorithm OntoDM_510504s OntoDM_510504 OntoDM-core:OntoDM_510504 Multi-label classification task is a feature-based structured output prediction task where the objective is to predict a set of discrete output labels (represented with a output set of discrete datatype) from a set of features (represented by a descriptive tuple of primitives datatype). supervised multi-label classification task OntoDM_512674s OntoDM_512674 OntoDM-core:OntoDM_512674 LCN tree-based hierarchical classification algorithm for single path prediction is a data mining algorithm that solves a tree-based hierarchical classification task with single label paths and as a result produces a hierarchical classification model using a local classifier per node (LCN) approach. LCN tree based HC algorithm for single path prediction OntoDM_519526s OntoDM_519526 OntoDM-core:OntoDM_519526 GC tree based HC algorithm for single path and mandatory leaf node prediction OntoDM_528443s OntoDM_528443 OntoDM-core:OntoDM_528443 LCL tree-based hierarchical classification algorithm for multiple path and non-mandatory leaf node prediction is a data mining algorithm that solves a tree-based hierarchical classification task with multiple label paths and partial depth labeling and as a result produces a hierarchical classification model using a local classifier per level (LCL) approach. LCL tree based HC algorithm for multiple path and non-mandatory leaf node prediction OntoDM_530819s OntoDM_530819 OntoDM-core:OntoDM_530819 A ensemble algorithm is a data mining algorithm that solves a data mining task and as a result produces an ensemble of generalizations. ensemble algorithm OntoDM_532190s OntoDM_532190 OntoDM-core:OntoDM_532190 language of neural nets OntoDM_535716s OntoDM_535716 OntoDM-core:OntoDM_535716 Probability distributions specification is a ensemble specification and denotes a type of generalization that is produced by a probability distribution estimation ensemble algorithm. This algorithm produces a set of probability distributions at its output. probability distributions ensemble specification OntoDM_537602s OntoDM_537602 OntoDM-core:OntoDM_537602 labeled feature-based dataset with primitive output is a dataset specification of a labeled dataset with tuple of primitives datatype (specified with the feature set specification) on the descriptive part and a primitive datatype on the output part of the data (specified with the output feature specification). feature-based completely labeled dataset with primitive output OntoDM_540049s OntoDM_540049 OntoDM-core:OntoDM_540049 LC tree-based hierarchical classification algorithm is a data mining algorithm that solves a tree-based hierarchical classification task and as a result produces a hierarchical classification model using a local classifier (LC) approach. LC tree based HC algorithm OntoDM_541005s OntoDM_541005 OntoDM-core:OntoDM_541005 multi-label classification dataset is a dataset specification of a labeled dataset with tuple of primitives datatype (specified with the feature set specification) on the descriptive part and a set of discrete datatype on the output part of the data. multi-label classification dataset OntoDM_542264s OntoDM_542264 OntoDM-core:OntoDM_542264 Tree based hierarchical classification task is a hierarchical classification task where the objective is to predict a set of labels organized in a tree (represented with a output tree with boolean edges and discrete nodes) from a set of features (represented by a descriptive tuple of primitives datatype). supervised tree-based hierarchical classification task OntoDM_549140s OntoDM_549140 OntoDM-core:OntoDM_549140 LCPN tree-based hierarchical classification algorithm is a data mining algorithm that solves a tree-based hierarchical classification task and as a result produces a hierarchical classification model using a local classifier per parent node (LCPN) approach. LCPN tree based HC algorithm OntoDM_555011s OntoDM_555011 OntoDM-core:OntoDM_555011 LCN DAG-based hierarchical classification algorithm for multiple path and non-mandatory leaf node prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with multiple label paths and partial depth labeling and as a result produces a hierarchical classification model using a local classifier per node (LCN) approach. LCN DAG based HC algorithm for single path and non-mandatory leaf node prediction OntoDM_559103s OntoDM_559103 OntoDM-core:OntoDM_559103 Tree based hierarchical classification task with single label paths is a tree based hierarchical classification task where the objective is to predict a set of labels organized in a tree (represented with a output tree with boolean edges and discrete nodes) from a set of features (represented by a descriptive tuple of primitives datatype), where the data instances are allowed to have a single paths of labels. tree-based hierarchical classification task with single label paths OntoDM_565974s OntoDM_565974 OntoDM-core:OntoDM_565974 multi-target regression dataset is a dataset specification of a labeled dataset with tuple of primitives datatype (specified with the feature set specification) on the descriptive part and a tuple of reals (specified with the feature set specification) on the output part of the data. multi-target regression dataset OntoDM_570767s OntoDM_570767 OntoDM-core:OntoDM_570767 Multi-label classification algorithm is a data mining algorithm that solves a multi-label classification task and as a result produces a multi-label classification model. multi-label classification algorithm OntoDM_572839s OntoDM_572839 OntoDM-core:OntoDM_572839 LCL tree-based hierarchical classification algorithm for single path and mandatory leaf node prediction is a data mining algorithm that solves a tree-based hierarchical classification task with single label paths and full depth labeling and as a result produces a hierarchical classification model using a local classifier per level (LCL) approach. LCL tree based HC algorithm for single path and mandatory leaf node prediction OntoDM_577929s OntoDM_577929 OntoDM-core:OntoDM_577929 A predictive model for structured output is a predictive model specification and denotes predictive models that are built on data having a structured datatype on the output part. predictive model for structured output OntoDM_583334s OntoDM_583334 OntoDM-core:OntoDM_583334 Multi-target regression model is a multi-target prediction model and denotes predictive models that are built on data having a tuple of reals (set of output features) on the output part, and set of features (represented by a descriptive tuple of primitives) on the descriptive part. multi-target regression model OntoDM_585235s OntoDM_585235 OntoDM-core:OntoDM_585235 LCL DAG-based hierarchical classification algorithm for multiple path and non-mandatory leaf node prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with multiple label paths and partial depth labeling and as a result produces a hierarchical classification model using a local classifier per level (LCL) approach. LCL DAG based HC algorithm for multiple path and non-mandatory leaf node prediction OntoDM_600958s OntoDM_600958 OntoDM-core:OntoDM_600958 predicting structured output task is a predictive modeling task where the objective is to predict a structured output (represented with a structured datatype). supervised structured output prediction task OntoDM_608558s OntoDM_608558 OntoDM-core:OntoDM_608558 unlabeled feature-based dataset is a dataset specification of unlabeled dataset with tuple of primitives as a descriptive datatype specification and descriptive feature set specification. feature-based unlabeled dataset OntoDM_609184s OntoDM_609184 OntoDM-core:OntoDM_609184 binary classification dataset is a dataset specification of a labeled dataset with tuple of primitives datatype (specified with the feature set specification) on the descriptive part and a boolean datatype on the output part of the data (specified with the feature specification). binary classification dataset OntoDM_611937s OntoDM_611937 OntoDM-core:OntoDM_611937 GC tree based HC algorithm for single path and non-mandatory leaf node prediction OntoDM_613675s OntoDM_613675 OntoDM-core:OntoDM_613675 LCPN DAG-based hierarchical classification algorithm for single path prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with single label paths and as a result produces a hierarchical classification model using a local classifier per parent node (LCPN) approach. LCPN DAG based HC algorithm for single path prediction OntoDM_613950s OntoDM_613950 OntoDM-core:OntoDM_613950 language of graphical models OntoDM_616457s OntoDM_616457 OntoDM-core:OntoDM_616457 language of decision rules OntoDM_620805s OntoDM_620805 OntoDM-core:OntoDM_620805 DAG based hierarchical classification task with single label paths and full depth labeling is a DAG based hierarchical classification task where the objective is to predict a set of labels organized in a DAG (represented with a output DAG with boolean edges and discrete nodes) from a set of features (represented by a descriptive tuple of primitives datatype), where the data instances are allowed to have single paths of labels and all instances have full depth of labeling. DAG based hierarchical classification task with single label paths and full depth labeling OntoDM_622093s OntoDM_622093 OntoDM-core:OntoDM_622093 LCL tree-based hierarchical classification algorithm for multiple path and mandatory leaf node prediction is a data mining algorithm that solves a tree-based hierarchical classification task with multiple label paths and full depth labeling and as a result produces a hierarchical classification model using a local classifier per level (LCL) approach. LCL tree based HC algorithm for multiple path and mandatory leaf node prediction OntoDM_622428s OntoDM_622428 OntoDM-core:OntoDM_622428 Tree based hierarchical classification task with single label paths and full depth labeling is a tree based hierarchical classification task where the objective is to predict a set of labels organized in a tree (represented with a output tree with boolean edges and discrete nodes) from a set of features (represented by a descriptive tuple of primitives datatype), where the data instances are allowed to have single paths of labels and all instances have full depth of labeling. tree-based hierarchical classification task with single label paths and full depth labeling OntoDM_627978s OntoDM_627978 OntoDM-core:OntoDM_627978 Multi-target binary decision tree is a multi-target binary classification model and denotes predictive models that are built on data having a tuple of boolean (set of output features) on the output part, set of features (represented by a descriptive tuple of primitives) on the descriptive part, and is expressed in the language of decision trees. multi-target binary decision tree OntoDM_629944s OntoDM_629944 OntoDM-core:OntoDM_629944 labeled dataset with structured output is a dataset specification of a labeled dataset with structured output datatype specification. completely labeled dataset with structured output OntoDM_636213s OntoDM_636213 OntoDM-core:OntoDM_636213 multi-target multi-class classification dataset is a dataset specification of a labeled dataset with tuple of primitives datatype (specified with the feature set specification) on the descriptive part and a tuple of discrete (specified with the feature set specification) on the output part of the data. multi-target multi-class classification dataset OntoDM_636747s OntoDM_636747 OntoDM-core:OntoDM_636747 multi-class classification dataset is a dataset specification of a labeled dataset with tuple of primitives datatype (specified with the feature set specification) on the descriptive part, and a discrete datatype on the output part of the data (specified with the feature specification). multi-class classification dataset OntoDM_640624s OntoDM_640624 OntoDM-core:OntoDM_640624 Hierarchical classification decision tree is a hierarchical classification model and denotes predictive models that are built on data having a labeled graph datatype on the output part, set of features (represented by a descriptive tuple of primitives) on the descriptive part, and it is expressed in the language of decision trees. hierarchical classification decision tree OntoDM_642324s OntoDM_642324 OntoDM-core:OntoDM_642324 language of decision trees OntoDM_661861s OntoDM_661861 OntoDM-core:OntoDM_661861 structure based structured output prediction task is a predicting structured output task where the objective is to predict a structured output (represented with a outputstructured datatype) from a structure (represented by a descriptive structured datatype). supervised structure based structured output prediction task OntoDM_666475s OntoDM_666475 OntoDM-core:OntoDM_666475 labeled feature-based dataset with structured output is a dataset specification of a labeled dataset with tuple of primitives datatype (specified with the feature set specification) on the descriptive part and a structured datatype on the output part of the data. feature-based completely labeled dataset with structured output OntoDM_669483s OntoDM_669483 OntoDM-core:OntoDM_669483 LCL tree-based hierarchical classification algorithm for single path prediction is a data mining algorithm that solves a tree-based hierarchical classification task with single label paths and as a result produces a hierarchical classification model using a local classifier per level (LCL) approach. LCL tree based HC algorithm for single path prediction OntoDM_674255s OntoDM_674255 OntoDM-core:OntoDM_674255 Multi-target regression algorithm is a data mining algorithm that solves a multi-target regression task and as a result produces a multi-target regression model. multi-target regression algorithm OntoDM_686944s OntoDM_686944 OntoDM-core:OntoDM_686944 regression dataset is a dataset specification of a labeled dataset with tuple of primitives datatype (specified with the feature set specification) on the descriptive part and a real datatype on the output part of the data (specified with the output specification). regression dataset OntoDM_688833s OntoDM_688833 OntoDM-core:OntoDM_688833 A regression model is a feature-based predictive model for primitive output and denotes predictive models that are built on data having a real datatype on the output part, and set of features (represented by a descriptive tuple of primitives) on the descriptive part. regression model OntoDM_689658s OntoDM_689658 OntoDM-core:OntoDM_689658 Multi-target multi-class decision tree is a multi-target multi-class classification model and denotes predictive models that are built on data having a tuple of discrete (set of output features) on the output part, set of features (represented by a descriptive tuple of primitives) on the descriptive part, and are expressed in the language of decision trees. multi-target multi-class decison tree OntoDM_692551s OntoDM_692551 OntoDM-core:OntoDM_692551 LCL DAG-based hierarchical classification algorithm for multiple path and non-mandatory leaf node prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with multiple label paths and partial depth labeling and as a result produces a hierarchical classification model using a local classifier per level (LCL) approach. LCL DAG based HC algorithm for single path and non-mandatory leaf node prediction OntoDM_692808s OntoDM_692808 OntoDM-core:OntoDM_692808 labeled dataset with structured output is a dataset specification of a labeled dataset with structured datatype on the descriptive part and a structured datatype on the output part of the data. structure-based completely labeled dataset with structured output OntoDM_694510s OntoDM_694510 OntoDM-core:OntoDM_694510 GC tree-based hierarchical classification algorithm for multiple path prediction is a data mining algorithm that solves a tree-based hierarchical classification task with multiple label paths and as a result produces a hierarchical classification model using a global classifier (GC) approach. GC tree-based HC algorithm for multiple path prediction OntoDM_718392s OntoDM_718392 OntoDM-core:OntoDM_718392 DAG based hierarchical classification task with multiple label paths and partial depth labeling is a DAG based hierarchical classification task where the objective is to predict a set of labels organized in a DAG (represented with a output DAG with boolean edges and discrete nodes) from a set of features (represented by a descriptive tuple of primitives datatype), where the data instances are allowed to have multiple paths of labels and at least one instance has a partial depth of labeling. DAG based hierarchical classification task with multiple label paths and partial depth labeling OntoDM_718446s OntoDM_718446 OntoDM-core:OntoDM_718446 Structure-based predictive modeling algorithm for primitive output is a data mining algorithm that solves a structure-based primitive output prediction task and as a result produces a structure-based predictive model for primitive output. structure-based prectictive modeling algorithm for primitive output OntoDM_721008s OntoDM_721008 OntoDM-core:OntoDM_721008 Random Forest OntoDM_722523s OntoDM_722523 OntoDM-core:OntoDM_722523 Multi-target classification algorithm is a data mining algorithm that solves a multi-target classification task and as a result produces a multi-target classification model. multi-target classification algorithm OntoDM_727807s OntoDM_727807 OntoDM-core:OntoDM_727807 multi-target binary classification dataset is a dataset specification of a labeled dataset with tuple of primitives datatype (specified with the feature set specification) on the descriptive part and a tuple of booleans (specified with the feature set specification) on the output part of the data. multi-target binary classification dataset OntoDM_728533s OntoDM_728533 OntoDM-core:OntoDM_728533 Multi-target binary classification algorithm is a data mining algorithm that solves a multi-target binary classification task and as a result produces a multi-target binarty classification model. multi-target binary classification algorithm OntoDM_730046s OntoDM_730046 OntoDM-core:OntoDM_730046 LCN tree-based hierarchical classification algorithm for multiple path and non-mandatory leaf node prediction is a data mining algorithm that solves a tree-based hierarchical classification task with multiple label paths and partial depth labeling and as a result produces a hierarchical classification model using a local classifier per node (LCN) approach. LCN tree based HC algorithm for multiple path and non-mandatory leaf node prediction OntoDM_731692s OntoDM_731692 OntoDM-core:OntoDM_731692 A single generalization algorithm is a data mining algorithm that solves a data mining task and as a result produces a single generalization. single generalization algorithm OntoDM_733255s OntoDM_733255 OntoDM-core:OntoDM_733255 Multi-target classification task is a multi-target prediction task where the objective is to predict a set of binary/discrete features (represented with a output tuple of booleans or discrete) from a set of features (represented by a descriptive tuple of primitives datatype). supervised multi-target classification task OntoDM_746568s OntoDM_746568 OntoDM-core:OntoDM_746568 multi-target prediction dataset is a dataset specification of a labeled dataset with tuple of primitives datatype (specified with the feature set specification) on the descriptive part and a tuple of primitives (specified with the feature set specification) on the output part of the data. multi-target prediction dataset OntoDM_754841s OntoDM_754841 OntoDM-core:OntoDM_754841 GC tree based HC algorithm for multiple path and mandatory leaf node prediction OntoDM_757640s OntoDM_757640 OntoDM-core:OntoDM_757640 Multi-target multi-class classification algorithm is a data mining algorithm that solves a multi-target multi-class classification task and as a result produces a multi-target multi-class classification model. multi-target multi-class classification algorithm OntoDM_771971s OntoDM_771971 OntoDM-core:OntoDM_771971 GC tree based HC algorithm for multiple path and non-mandatory leaf node prediction OntoDM_782155s OntoDM_782155 OntoDM-core:OntoDM_782155 LCN DAG-based hierarchical classification algorithm for multiple path and mandatory leaf node prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with multiple label paths and full depth labeling and as a result produces a hierarchical classification model using a local classifier per node (LCN) approach. LCN DAG based HC algorithm for multiple path and mandatory leaf node prediction OntoDM_783954s OntoDM_783954 OntoDM-core:OntoDM_783954 multi-target classification dataset is a dataset specification of a labeled dataset with tuple of primitives datatype (specified with the feature set specification) on the descriptive part and a tuple of booleans or discrete (specified with the feature set specification) on the output part of the data. multi-target classification dataset OntoDM_785336s OntoDM_785336 OntoDM-core:OntoDM_785336 Structure-based primitive output prediction task is a predicting primitive output task where the objective is to predict a primitive output (represented with a primitive datatype) from a structure (represented by a descriptive structured datatype). supervised structure based primitive output prediction task OntoDM_793930s OntoDM_793930 OntoDM-core:OntoDM_793930 LCL tree-based hierarchical classification algorithm is a data mining algorithm that solves a tree-based hierarchical classification task and as a result produces a hierarchical classification model using a local classifier per level (LCL) approach. LCL tree based HC algorithm OntoDM_794067s OntoDM_794067 OntoDM-core:OntoDM_794067 feature-based time series predicton dataset is a dataset specification of a labeled dataset with tuple of primitives datatype (specified with the feature set specification) on the descriptive part and a sequence of reals datatype on the output part of the data. feature-based time-series prediction dataset OntoDM_813772s OntoDM_813772 OntoDM-core:OntoDM_813772 language of bayesian nets OntoDM_815320s OntoDM_815320 OntoDM-core:OntoDM_815320 Multi-target multi-class classification task is a multi-target classification task where the objective is to predict a set of discrete features (represented with a output tuple of discrete ) from a set of features (represented by a descriptive tuple of primitives datatype). supervised multi-target multi-class classification task OntoDM_817028s OntoDM_817028 OntoDM-core:OntoDM_817028 Multi-target predictive modeling algorithm is a data mining algorithm that solves a multi-target prediction task and as a result produces a multi-target predictive model. multi-target predictive modelling algorithm OntoDM_818411s OntoDM_818411 OntoDM-core:OntoDM_818411 GC DAG based HC algorithm for single path and mandatory leaf node prediction OntoDM_826903s OntoDM_826903 OntoDM-core:OntoDM_826903 Tree based hierarchical classification task with multiple label paths is a tree based hierarchical classification task where the objective is to predict a set of labels organized in a tree (represented with a output tree with boolean edges and discrete nodes) from a set of features (represented by a descriptive tuple of primitives datatype), where the data instances are allowed to have multiple paths of labels. tree-based hierarchical classification task with multiple label paths OntoDM_829270s OntoDM_829270 OntoDM-core:OntoDM_829270 LCPN DAG-based hierarchical classification algorithm for multiple path and non-mandatory leaf node prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with multiple label paths and partial depth labeling and as a result produces a hierarchical classification model using a local classifier per parent node (LCPN) approach. LCPN DAG based HC algorithm for single path and non-mandatory leaf node prediction OntoDM_831808s OntoDM_831808 OntoDM-core:OntoDM_831808 Feature-based predictive modeling algorithm for structured output is a data mining algorithm that solves a feature-based primitive structured prediction task and as a result produces a feature-based predictive model for structured output. feature-based predictive modeling algorithm for structured output OntoDM_837886s OntoDM_837886 OntoDM-core:OntoDM_837886 regression classification task is a feature-based primitive output task where the objective is to predict a real output (represented with a real datatype) from a set of features (represented by a descriptive tuple of primitives datatype). supervised regression task OntoDM_838789s OntoDM_838789 OntoDM-core:OntoDM_838789 LCL DAG-based hierarchical classification algorithm for single path prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with single label paths and as a result produces a hierarchical classification model using a local classifier per level (LCL) approach. LCL DAG based HC algorithm for single path prediction OntoDM_843203s OntoDM_843203 OntoDM-core:OntoDM_843203 labeled structure-based dataset with primitive output is a dataset specification of a labeled dataset with a structure datatype on the descriptive part and a primitive datatype on the output part of the data (specified with the output feature specification). structure-based completely labeled dataset with primitive output OntoDM_849533s OntoDM_849533 OntoDM-core:OntoDM_849533 labeled dataset with primitive output is a dataset specification of labeled dataset with primitive output datatype specification. completely labeled dataset with primitive output OntoDM_849657s OntoDM_849657 OntoDM-core:OntoDM_849657 GC DAG based HC algorithm for single path and non-mandatory leaf node prediction OntoDM_860584s OntoDM_860584 OntoDM-core:OntoDM_860584 Pattern discovery ensemble algorithm is a data mining algorithm that solves a pattern discovery task and as a result produces a ensemble of set of patterns. pattern discovery ensemble algorithm OntoDM_865023s OntoDM_865023 OntoDM-core:OntoDM_865023 A multi-class classification model is a classification model and denotes predictive models that are built on data having a discrete datatype on the output part, and set of features (represented by a descriptive tuple of primitives) on the descriptive part. multi-class classification model OntoDM_871327s OntoDM_871327 OntoDM-core:OntoDM_871327 Predictive modeling algorithm for structured output is a data mining algorithm that solves a predicting structured output task and as a result produces a predictive model for structured output. predictive modeling algorithm for structured output OntoDM_874928s OntoDM_874928 OntoDM-core:OntoDM_874928 LCN DAG-based hierarchical classification algorithm for single path and mandatory leaf node prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with single label paths and full depth labeling and as a result produces a hierarchical classification model using a local classifier per node (LCN) approach. LCN DAG based HC algorithm for single path and mandatory leaf node prediction OntoDM_879928s OntoDM_879928 OntoDM-core:OntoDM_879928 unlabeled dataset is a dataset specification for datasets that have only descriptive datatype specification of the data examples contained in the dataset. unlabeled dataset OntoDM_882801s OntoDM_882801 OntoDM-core:OntoDM_882801 LCPN DAG-based hierarchical classification algorithm for multiple path and mandatory leaf node prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with multiple label paths and full depth labeling and as a result produces a hierarchical classification model using a local classifier per parent node (LCPN) approach. LCPN DAG based HC algorithm for multiple path and mandatory leaf node prediction OntoDM_900172s OntoDM_900172 OntoDM-core:OntoDM_900172 GC DAG based HC algorithm for multiple path and non-mandatory leaf node prediction OntoDM_901970s OntoDM_901970 OntoDM-core:OntoDM_901970 LCN tree-based hierarchical classification algorithm for multiple path and mandatory leaf node prediction is a data mining algorithm that solves a tree-based hierarchical classification task with multiple label paths and full depth labeling and as a result produces a hierarchical classification model using a local classifier per node (LCN) approach. LCN tree based HC algorithm for multiple path and mandatory leaf node prediction OntoDM_910828s OntoDM_910828 OntoDM-core:OntoDM_910828 Boosting OntoDM_913132s OntoDM_913132 OntoDM-core:OntoDM_913132 multi class classification task is a flat classification task where the objective is to predict a discrete output (represented with a boolean or discrete datatype) from a set of features (represented by a descriptive tuple of primitives datatype). supervised multi-class classification task OntoDM_919659s OntoDM_919659 OntoDM-core:OntoDM_919659 LCPN tree-based hierarchical classification algorithm for multiple path and mandatory leaf node prediction is a data mining algorithm that solves a tree-based hierarchical classification task with multiple label paths and full depth labeling and as a result produces a hierarchical classification model using a local classifier per parent node (LCPN) approach. LPCN tree based HC algorithm for multiple path and non-mandatory leaf node prediction OntoDM_930862s OntoDM_930862 OntoDM-core:OntoDM_930862 Tree based hierarchical classification task with multiple label paths and partial depth labeling is a tree based hierarchical classification task where the objective is to predict a set of labels organized in a tree (represented with a output tree with boolean edges and discrete nodes) from a set of features (represented by a descriptive tuple of primitives datatype), where the data instances are allowed to have multiple paths of labels and at least one instance has a partial depth of labeling. tree-based hierarchical classification task with multiple label paths and partial depth labeling OntoDM_931732s OntoDM_931732 OntoDM-core:OntoDM_931732 Hierarchical classification task is a feature-based structured output prediction task where the objective is to predict a hierarchical output (represented with a output labeled graph datatype) from a set of features (represented by a descriptive tuple of primitives datatype). supervised hierarchical classification task OntoDM_941793s OntoDM_941793 OntoDM-core:OntoDM_941793 Feature-based predictive modeling algorithm for primitive output is a data mining algorithm that solves a feature-based primitive output prediction task and as a result produces a feature-based predictive model for primitive output. feature-based predictive modeling algorithm for primitive output OntoDM_942569s OntoDM_942569 OntoDM-core:OntoDM_942569 A structure-based predictive model for primitive output is a predictive model specification and denotes predictive models that are built on data having primitive datatype on the output part, and a structured datatype on the descriptive part. structure-based predictive model for primitive output OntoDM_942737s OntoDM_942737 OntoDM-core:OntoDM_942737 LC DAG-based hierarchical classification algorithm is a data mining algorithm that solves a DAG-based hierarchical classification task and as a result produces a hierarchical classification model using a local classifier (LC) approach. LC DAG based HC algorithm OntoDM_960431s OntoDM_960431 OntoDM-core:OntoDM_960431 hierarchical classification dataset is a dataset specification of a labeled dataset with tuple of primitives datatype (specified with the feature set specification) on the descriptive part and a labeled graph datatype on the output part of the data. hierarchical classification dataset OntoDM_970232s OntoDM_970232 OntoDM-core:OntoDM_970232 Stacking OntoDM_975727s OntoDM_975727 OntoDM-core:OntoDM_975727 LCL DAG-based hierarchical classification algorithm for multiple path and mandatory leaf node prediction is a data mining algorithm that solves a DAG-based hierarchical classification task with multiple label paths and full depth labeling and as a result produces a hierarchical classification model using a local classifier per level (LCL) approach. LCL DAG based HC algorithm for multiple path and mandatory leaf node prediction OntoDM-core:OntoDT_10000000000 completely labeled dataset OntoDM-core:OntoDT_10000000001 semi-labeled dataset OntoDM-core:OntoDT_10000000002 partially labeled dataset OntoDM-core:OntoDT_10000000003 supervised predictive modelling task OntoDM-core:OntoDT_10000000004 semi-supervised predictive modelling task OntoDM-core:OntoDT_10000000005 semi-supervised structured output prediction task OntoDM-core:OntoDT_10000000006 semi-supervised feature-based structured output prediction task OntoDM-core:OntoDT_10000000007 semi-supervised hierarchical classification task OntoDM-core:OntoDT_10000000008 semi-supervised DAG based hierarchical classification task OntoDM-core:OntoDT_10000000009 semi-supervised tree-based hierarchical classification task OntoDM-core:OntoDT_10000000010 semi-supervised multi-label classification task OntoDM-core:OntoDT_10000000011 semi-supervised multi-target prediction task OntoDM-core:OntoDT_10000000012 semi-supervised multi-target classification task OntoDM-core:OntoDT_10000000013 semi-supervised multi-target binary classification task OntoDM-core:OntoDT_10000000014 semi-supervised multi-target multi-class classification task OntoDM-core:OntoDT_10000000015 semi-supervised multi-target regression task OntoDM-core:OntoDT_10000000016 semi-supervised time-series prediction task OntoDM-core:OntoDT_10000000017 semi-supervised structure-based structured output prediction task OntoDM-core:OntoDT_10000000018 semi-supervised primitive output prediction task OntoDM-core:OntoDT_10000000019 semi-supervised feature-based primitive output prediction task OntoDM-core:OntoDT_10000000020 semi-supervised flat classification task OntoDM-core:OntoDT_10000000021 semi-supervised binary classification task OntoDM-core:OntoDT_10000000022 semi-supervised multi-class classification task OntoDM-core:OntoDT_10000000023 semi-supervised regression task OntoDM-core:OntoDT_10000000024 semi-supervised structure-based primitive output prediction task OntoDM-core:OntoDT_10000000025 online predictive modeling task OntoDM-core:OntoDT_10000000026 batch predictive modeling task OntoDM-core:OntoDT_10000000027 online supervised predictive modeling task OntoDM-core:OntoDT_10000000028 online semi-supervised predictive modeling task OntoDM-core:OntoDT_10000000029 online semi-supervised structured output prediction task OntoDM-core:OntoDT_10000000030 online semi-supervised feature-based structured output prediction task OntoDM-core:OntoDT_10000000031 online semi-supervised hierarchical classification task OntoDM-core:OntoDT_10000000032 online semi-supervised DAG based hierarchical classification task OntoDM-core:OntoDT_10000000033 online semi-supervised tree based hierarchical classification task OntoDM-core:OntoDT_10000000034 online semi-supervised multi-label classification task OntoDM-core:OntoDT_10000000035 online semi-supervised multi-target prediction task OntoDM-core:OntoDT_10000000036 online semi-supervised multi-target classification task OntoDM-core:OntoDT_10000000037 online semi-supervised multi-target binary classification task OntoDM-core:OntoDT_10000000038 online semi-supervised multi-target multi-class classification task OntoDM-core:OntoDT_10000000039 online semi-supervised multi-target regression task OntoDM-core:OntoDT_10000000040 online semi-supervised time-series prediction task OntoDM-core:OntoDT_10000000041 online semi-supervised structure-based structured output prediction task OntoDM-core:OntoDT_10000000042 online semi-supervised primitive output prediction task OntoDM-core:OntoDT_10000000043 online semi-supervised feature-based primitive output prediction task OntoDM-core:OntoDT_10000000044 online semi-supervised flat classification task OntoDM-core:OntoDT_10000000045 online semi-supervised binary classification task OntoDM-core:OntoDT_10000000046 online semi-supervised multi-class classification task OntoDM-core:OntoDT_10000000047 online semi-supervised regression task OntoDM-core:OntoDT_10000000048 online semi-supervised structure-based primitive output prediction task OntoDM-core:OntoDT_10000000049 online supervised structured output prediction task OntoDM-core:OntoDT_10000000050 online supervised feature-based structured output prediction task OntoDM-core:OntoDT_10000000051 online supervised hierarchical classification task OntoDM-core:OntoDT_10000000052 online supervised DAG based hierarchical classification task OntoDM-core:OntoDT_10000000053 online supervised tree-based hierarchical classification task OntoDM-core:OntoDT_10000000054 online supervised multi-label classification task OntoDM-core:OntoDT_10000000055 online supervised multi-target prediction task OntoDM-core:OntoDT_10000000056 online supervised multi-target classification task OntoDM-core:OntoDT_10000000057 online supervised multi-target binary classification task OntoDM-core:OntoDT_10000000058 online supervised multi-target multi-class classification task OntoDM-core:OntoDT_10000000059 online supervised multi-target regression task OntoDM-core:OntoDT_10000000060 online supervised time-series prediction task OntoDM-core:OntoDT_10000000061 online supervised structure-based structured output prediction task OntoDM-core:OntoDT_10000000062 online supervised primitive output prediction task OntoDM-core:OntoDT_10000000063 online supervised feature-based primitive output prediction task OntoDM-core:OntoDT_10000000064 online supervised flat classification task OntoDM-core:OntoDT_10000000065 online supervised binary classification task OntoDM-core:OntoDT_10000000066 online supervised multi-class classification task OntoDM-core:OntoDT_10000000067 online supervised regression task OntoDM-core:OntoDT_10000000068 online supervised structure-based primitive output prediction task OntoDM-core:OntoDT_10000000075 semi-labeled dataset with structured output OntoDM-core:OntoDT_10000000076 feature-based semi-labeled dataset with structured output OntoDM-core:OntoDT_10000000077 feature-based time-series semi-labeled prediction dataset OntoDM-core:OntoDT_10000000078 hierarchical semi-labeled classification dataset OntoDM-core:OntoDT_10000000079 DAG-based hierarchical semi-labeled classification dataset OntoDM-core:OntoDT_10000000080 tree-based hierarchical semi-labeled classification dataset OntoDM-core:OntoDT_10000000081 multi-label semi-labeled classification dataset OntoDM-core:OntoDT_10000000082 multi-target semi-labeled prediction dataset OntoDM-core:OntoDT_10000000083 multi-target semi-labeled binary classification dataset OntoDM-core:OntoDT_10000000084 multi-target semi-labeled multi-class classification dataset OntoDM-core:OntoDT_10000000085 multi-target semi-labeled regression dataset OntoDM-core:OntoDT_10000000086 structure-based semi-labeled dataset with structured output OntoDM-core:OntoDT_10000000087 semi-labeled dataset with primitive output OntoDM-core:OntoDT_10000000088 feature-based semi-labeled dataset with primitive output OntoDM-core:OntoDT_10000000089 flat semi-labeled classification dataset OntoDM-core:OntoDT_10000000090 binary semi-labeled classification dataset OntoDM-core:OntoDT_10000000091 multi-class semi-labeled classification dataset OntoDM-core:OntoDT_10000000092 semi-labeled regression dataset OntoDM-core:OntoDT_10000000093 structure-based semi-labeled dataset with primitive output OntoDM-core:OntoDT_10000000114 multi-target semi-labeled classification dataset OntoDM-core:algorithmsOWLClass_0000000001 optimization problem specification OntoDM-core:algorithmsOWLClass_0000000025 algorithm assumption specification OntoDM-core:algorithmsOWLClass_0000000026 complexity function specification OntoDM-core:algorithmsOWLClass_0000000027 O(1) Finding the median value in a sorted array of numbers Calculating (−1)^n constant time OntoDM-core:algorithmsOWLClass_0000000028 O(n^3) Naive multiplication of two n x n matrices. Calculating partial correlation. cubic time OntoDM-core:algorithmsOWLClass_0000000029 2^(2^poly(n)) Deciding the truth of a given statement in Presburger arithmetic double exponential time OntoDM-core:algorithmsOWLClass_0000000030 2^(O(n)) Solving matrix chain multiplication via brute-force search exponential time OntoDM-core:algorithmsOWLClass_0000000031 O(n!) Solving the traveling salesman problem via brute-force search factorial time OntoDM-core:algorithmsOWLClass_0000000032 O(n^c) where 0 < c < 1 Searching in a kd-tree fractional power OntoDM-core:algorithmsOWLClass_0000000033 O(alpha(n)) Amortized time per operation using a disjoint set inverse Ackermann time OntoDM-core:algorithmsOWLClass_0000000034 O(log* n) Distributed coloring of cycles iterated logarithmic time OntoDM-core:algorithmsOWLClass_0000000035 O(n) Finding the smallest or largest item in an unsorted array, Kadane's algorithm, linear search linear time OntoDM-core:algorithmsOWLClass_0000000036 O(n log n) Fastest possible comparison sort; Fast Fourier transform linearithmic time OntoDM-core:algorithmsOWLClass_0000000037 O(log log n) Amortized time per operation using a bounded priority queue log-logarithmic time OntoDM-core:algorithmsOWLClass_0000000038 O(log n) Binary search logarithmic time OntoDM-core:algorithmsOWLClass_0000000039 O(n log* n) Seidel's polygon triangulation algorithm n log-star n time OntoDM-core:algorithmsOWLClass_0000000040 poly(log n) polylogarithmic time OntoDM-core:algorithmsOWLClass_0000000041 poly(n) = 2^(O(log n)) Karmarkar's algorithm for linear programming; AKS primality test polynomial time OntoDM-core:algorithmsOWLClass_0000000042 O(n^2) Bubble sort; Insertion sort; Direct convolution quadratic time OntoDM-core:algorithmsOWLClass_0000000043 2^(poly(log n)) Best-known O(log2n)-approximation algorithm for the directed Steiner tree problem quasi-polynomial time OntoDM-core:algorithmsOWLClass_0000000044 n poly(log n) quasilinear time OntoDM-core:algorithmsOWLClass_0000000045 2^(o(n)) O(2^(n^e)) for all e > 0 Contains BPP unless EXPTIME (see below) equals MA. Best-known algorithm for integer factorization; formerly-best algorithm for graph isomorphism sub-exponential time OntoDM-core:algorithmsOWLClass_0000000046 2^(O(n)) Solving the traveling salesman problem using dynamic programming exponential time (with linear exponent) OntoDM-core:algorithmsOWLClass_0000000047 complexity specification OntoDM-core:algorithmsOWLClass_0000000048 space complexity specification OntoDM-core:algorithmsOWLClass_0000000049 run-time space complexity specification OntoDM-core:algorithmsOWLClass_0000000050 train space complexity specification OntoDM-core:algorithmsOWLClass_0000000051 time complexity specification OntoDM-core:algorithmsOWLClass_0000000052 run-time time complexity specification OntoDM-core:algorithmsOWLClass_0000000053 train time complexity specification OntoDM-core:algorithmsOWLClass_0000000054 multiobjective optimization OntoDM-core:algorithmsOWLClass_0000000055 deterministic OntoDM-core:algorithmsOWLClass_0000000056 continuous OntoDM-core:algorithmsOWLClass_0000000057 constrained OntoDM-core:algorithmsOWLClass_0000000058 bound constrained OntoDM-core:algorithmsOWLClass_0000000059 derivative-free optimization OntoDM-core:algorithmsOWLClass_0000000060 global optimization OntoDM-core:algorithmsOWLClass_0000000061 linearly constrained OntoDM-core:algorithmsOWLClass_0000000062 linear programming OntoDM-core:algorithmsOWLClass_0000000063 quadratic programming OntoDM-core:algorithmsOWLClass_0000000064 network optimization OntoDM-core:algorithmsOWLClass_0000000065 nondifferentiable optimization OntoDM-core:algorithmsOWLClass_0000000066 nonlinear programming OntoDM-core:algorithmsOWLClass_0000000067 mathematical programs with equilibrium constraints OntoDM-core:algorithmsOWLClass_0000000068 complementarity problems OntoDM-core:algorithmsOWLClass_0000000069 mixed integer nonlinear programming OntoDM-core:algorithmsOWLClass_0000000070 semidefinite programming OntoDM-core:algorithmsOWLClass_0000000071 second-order cone programming OntoDM-core:algorithmsOWLClass_0000000072 quadratically-constrained quadratic programming OntoDM-core:algorithmsOWLClass_0000000073 semiinfinite programming OntoDM-core:algorithmsOWLClass_0000000074 unconstrained OntoDM-core:algorithmsOWLClass_0000000075 nonlinear equations OntoDM-core:algorithmsOWLClass_0000000076 nonlinear least squares OntoDM-core:algorithmsOWLClass_0000000077 discrete OntoDM-core:algorithmsOWLClass_0000000078 combinatorial optimization OntoDM-core:algorithmsOWLClass_0000000079 integer programming OntoDM-core:algorithmsOWLClass_0000000080 uncertainity OntoDM-core:algorithmsOWLClass_0000000081 robust optimization OntoDM-core:algorithmsOWLClass_0000000082 stochastic programming OntoDM_714659s OntoDM_714659 generalization language specification owl:OWLClass_0000000000 algorithm parameter specification computational problem specification owl:OWLClass_0000000001 algorithm hyperparameter specification decision problem specification owl:OWLClass_0000000002 model parameter specification search problem specification owl:OWLClass_0000000003 counting problem specification owl:OWLClass_0000000004 function problem specification owl:OWLClass_0000000005 bagging algorithm owl:OWLClass_0000000006 boosting algorithm owl:OWLClass_0000000007 voting algorithm owl:OWLClass_0000000008 stacking algorithm owl:OWLClass_0000000009 sampling owl:OWLClass_0000000010 sampling random subsets of the samples without replacement owl:OWLClass_0000000011 sampling random subsets of the samples with replacement owl:OWLClass_0000000012 sampling random subsets of the features without replacement owl:OWLClass_0000000013 sampling random subsets of the features with replacement owl:OWLClass_0000000014 sampling random subsets of both samples and features without replacement owl:OWLClass_0000000015 sampling random subsets of both samples and features with replacement has_part has_parts has_parted