Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2307)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
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Table of contents (8 chapters)
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Association Rule Mining
Book Subtitle: Models and Algorithms
Editors: Chengqi Zhang, Shichao Zhang
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-46027-6
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2002
Softcover ISBN: 978-3-540-43533-4Published: 10 April 2002
eBook ISBN: 978-3-540-46027-5Published: 01 August 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 244
Topics: Artificial Intelligence, Database Management, Information Storage and Retrieval, Algorithm Analysis and Problem Complexity