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Information / Association rule learning / Apriori algorithm / Subgroup / Algorithm / Precision and recall / Tree / Data mining / Information science / Statistics


SD-Map – A Fast Algorithm for Exhaustive Subgroup Discovery Martin Atzmueller and Frank Puppe University of W¨urzburg, 97074 W¨urzburg, Germany Department of Computer Science Phone: +[removed], Fax: +[removed]
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Document Date: 2013-04-02 16:26:20


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Apriori / /

Company

Introduction Subgroup / Exhaustive Subgroup / /

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Facility

Frank Puppe University of W¨urzburg / /

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IndustryTerm

prior-sample algorithm / larger search spaces / by-product / search method / artificial vehicle insurance domain / restricted search space / post-processing step / unpruned search space / association rule mining / beam search method / high insurance rates / exponential search space / search method scale / subgroup search strategy / search strategy / association rule mining methods / data mining / post-processing / potential redundancy management / beam search / search space / subgroup discovery algorithms / subgroup mining / beam search approach / beam search algorithm / search methods / /

OperatingSystem

Windows XP / /

Organization

Frank Puppe University of W¨urzburg / Germany Department of Computer Science Phone / German Research Council / Discussion Using association / /

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Position

rule head / /

Product

FP / /

ProgrammingLanguage

FP / /

Technology

Apriori-SD algorithms / prior-sample algorithm / three subgroup discovery algorithms / FP-growth algorithm / existing algorithms / data mining / SD-Map algorithm / dom / mentioned algorithms / Apriori algorithm / beam search algorithm / 1 SD-Map algorithm / /

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