Chengqi Zhang, Shichao Zhang

Association Rule Mining

Models and Algorithms

• Broschiertes Buch

Produktbeschreibung

Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule mining is receiving increasing attention.
The authors present the recent progress achieved in mining quantitative association rules, causal rules, exceptional rules, negative association rules, association rules in multi-databases, and association rules in small databases. This book is written for researchers, professionals, and students working in the fields of data mining, data analysis, machine learning, knowledge discovery in databases, and anyone who is interested in association rule mining.

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Produktdetails

• Lecture Notes in Computer Science 2307
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-540-43533-4
• 2002
• Seitenzahl: 256
• Erscheinungstermin: 10. April 2002
• Englisch
• Abmessung: 233mm x 155mm x 15mm
• Gewicht: 400g
• ISBN-13: 9783540435334
• ISBN-10: 3540435336
• Artikelnr.: 10655573

Autorenporträt

Chengqi Zhang, University of Technology, Sydney, NSW, Australia / Shichao Zhang, University of Technology, Sydney, NSW, Australia

Inhaltsangabe

Association Rule.- Negative Association Rule.- Causality in Databases.- Causal Rule Analysis.- Association Rules in Very Large Databases.- Association Rules in Small Databases.- Conclusion and Future Work.