posted on 2003-01-01, 00:00authored byG 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.