Matches in DBpedia 2015-10 for { <http://dbpedia.org/resource/Contrast_set_learning> ?p ?o }
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- Contrast_set_learning abstract "Contrast set learning is a form of association rule learning that seeks to identify meaningful differences between separate groups by reverse-engineering the key predictors that identify for each particular group. For example, given a set of attributes for a pool of students (labeled by degree type), a contrast set learner would identify the contrasting features between students seeking bachelor's degrees and those working toward PhD degrees.".
- Contrast_set_learning wikiPageID "34055690".
- Contrast_set_learning wikiPageLength "16053".
- Contrast_set_learning wikiPageOutDegree "12".
- Contrast_set_learning wikiPageRevisionID "629409666".
- Contrast_set_learning wikiPageWikiLink Algorithm.
- Contrast_set_learning wikiPageWikiLink Association_rule_learning.
- Contrast_set_learning wikiPageWikiLink Boston.
- Contrast_set_learning wikiPageWikiLink C4.5.
- Contrast_set_learning wikiPageWikiLink C4.5_algorithm.
- Contrast_set_learning wikiPageWikiLink Category:Data_management.
- Contrast_set_learning wikiPageWikiLink Category:Data_mining.
- Contrast_set_learning wikiPageWikiLink Chi-squared_test.
- Contrast_set_learning wikiPageWikiLink Classification_in_machine_learning.
- Contrast_set_learning wikiPageWikiLink Data_mining.
- Contrast_set_learning wikiPageWikiLink Statistical_classification.
- Contrast_set_learning wikiPageWikiLink Tree_traversal.
- Contrast_set_learning wikiPageWikiLinkText "Contrast set learning".
- Contrast_set_learning hasPhotoCollection Contrast_set_learning.
- Contrast_set_learning wikiPageUsesTemplate Template:Reflist.
- Contrast_set_learning subject Category:Data_management.
- Contrast_set_learning subject Category:Data_mining.
- Contrast_set_learning hypernym Form.
- Contrast_set_learning type Article.
- Contrast_set_learning type Algorithm.
- Contrast_set_learning type Article.
- Contrast_set_learning type Datum.
- Contrast_set_learning comment "Contrast set learning is a form of association rule learning that seeks to identify meaningful differences between separate groups by reverse-engineering the key predictors that identify for each particular group. For example, given a set of attributes for a pool of students (labeled by degree type), a contrast set learner would identify the contrasting features between students seeking bachelor's degrees and those working toward PhD degrees.".
- Contrast_set_learning label "Contrast set learning".
- Contrast_set_learning sameAs m.0hr5ttj.
- Contrast_set_learning sameAs Q5165762.
- Contrast_set_learning sameAs Q5165762.
- Contrast_set_learning wasDerivedFrom Contrast_set_learning?oldid=629409666.
- Contrast_set_learning isPrimaryTopicOf Contrast_set_learning.