Mining frequent patterns with counting inference-Reference-Cited by-同舟云学术

Mining frequent patterns with counting inference

Published:2000-12 Issue:2 Volume:2 Page:66-75
ISSN:1931-0145
Container-title:ACM SIGKDD Explorations Newsletter
language:en
Short-container-title:SIGKDD Explor. Newsl.

Author:

Bastide Yves¹,Taouil Rafik²,Pasquier Nicolas³,Stumme Gerd⁴,Lakhal Lotfi⁵

Affiliation:

1. LIMOS, université Blaise Pascal, complexe scientifique des, C6zeanx, 24 av. des Landais, 63177 Aubière Cedex, France

2. INRIA Lorraine, 54506 Vandoeuvre-lès-Nancy Cedex, France

3. I3S (CNRS UPRESA 6070) - uuiversité de Nice, 06903, Sophia Antipolis, France

4. Institut für Angewandte Informatik und Formale Beschreibungsverfahren, Universität Karlsruhe (TH), D-76128 Karlsruhe, Germany

5. LIM (CNRS FRE 2246) - université de la Méditerranée, 13288 Marseille Cedex 09, France

Publisher

Association for Computing Machinery (ACM)

Reference26 articles.

1. Mining association rules between sets of items in large databases

2. Mining Minimal Non-redundant Association Rules Using Frequent Closed Itemsets

3. {5} S. D. Bay. The UCI KDD Archive {http://kdd.ics. uci.edu}. Irvine CA: University of California Department of Information and Computer Science. {5} S. D. Bay. The UCI KDD Archive {http://kdd.ics. uci.edu}. Irvine CA: University of California Department of Information and Computer Science.

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