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KDD
2003
ACM

On detecting differences between groups

9 years 10 months ago
On detecting differences between groups
Understanding the differences between contrasting groups is a fundamental task in data analysis. This realization has led to the development of a new special purpose data mining technique, contrast-set mining. We undertook a study with a retail collaborator to compare contrast-set mining with existing rule-discovery techniques. To our surprise we observed that straightforward application of an existing commercial rule-discovery system, Magnum Opus, could successfully perform the contrast-set-mining task. This led to the realization that contrast-set mining is a special case of the more general rule-discovery task. We present the results of our study together with a proof of this conclusion. Categories and Subject Descriptors H.2.8 [Database Management]: Database Applications-data mining; I.2.6 [Artificial Intelligence]: Learning; H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval Keywords Contrast-set discovery, Rule discovery, Retailing
Geoffrey I. Webb, Shane M. Butler, Douglas A. Newl
Added 30 Nov 2009
Updated 30 Nov 2009
Type Conference
Year 2003
Where KDD
Authors Geoffrey I. Webb, Shane M. Butler, Douglas A. Newlands
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