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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/702

Title: Relational Association Rules: Getting WARM eR
Authors: GOETHALS, Bart
Issue Date: 2002
Publisher: Springer-Verlag
Citation: Pattern Detection and Discovery: ESF Exploratory Workshop. p. 125-139
Series/Report: Lecture Notes in Computer Science, 2447
Abstract: In recent years, the problem of association rule mining in transactional data has been well studied. We propose to extend the discovery of classical association rules to the discovery of association rules of conjunctive queries in arbitrary relational data, inspired by the WARMR algorithm, developed by Dehaspe and Toivonen, that discovers association rules over a limited set of conjunctive queries. Conjunctive query evaluation in relational databases is well understood, but still poses some great challenges when approached from a discovery viewpoint in which patterns are generated and evaluated with respect to some well defined search space and pruning operators.
URI: http://hdl.handle.net/1942/702
ISSN: 0302-9743
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

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