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On detecting differences between groups

conference contribution
posted on 2003-01-01, 00:00 authored by G Webb, D Butler, Douglas Newlands
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 ob- served 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.

History

Event

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (9th : 2003 : Washington, D.C.)

Pagination

256 - 265

Publisher

Association for Computing Machinery

Location

Washington, D.C.

Place of publication

New York, N.Y.

Start date

2003-08-24

End date

2003-08-27

ISBN-13

9781581137378

ISBN-10

1581137370

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2003, ACM

Editor/Contributor(s)

P Domingos, C Faloutsos

Title of proceedings

KDD-2003 : proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining : August 24-27, 2003, Washington, D.C.

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