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Mining association rules in multiple relations

Author(s) -

Luc De Raedt

Publication year - 1997

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-63514-9

DOI - 10.1007/3540635149_40

Subject(s) - association rule learning , computer science , inductive logic programming , relation (database) , apriori algorithm , association (psychology) , task (project management) , field (mathematics) , a priori and a posteriori , natural language processing , space (punctuation) , data mining , artificial intelligence , mathematics , engineering , philosophy , epistemology , pure mathematics , operating system , systems engineering

. The application of algorithms for efficiently generating associationrules is so far restricted to cases where information is put togetherin a single relation. We describe how this restriction can be overcomethrough the combination of the available algorithms with standard techniquesfrom the field of inductive logic programming. We present thesystem Warmr, which extends Apriori [2] to mine association rules inmultiple relations. We apply Warmr to the natural language processingtask of...

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