Association Rule Mining: Models and Algorithms 2002 Edition Contributor(s): Zhang, Chengqi (Author), Zhang, Shichao (Author) |
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ISBN: 3540435336 ISBN-13: 9783540435334 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: April 2002 Annotation: 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. |
Additional Information |
BISAC Categories: - Computers | Intelligence (ai) & Semantics - Medical - Computers | System Administration - Storage & Retrieval |
Dewey: 006.3 |
LCCN: 2002021639 |
Physical Information: 0.6" H x 6.36" W x 9.32" (0.87 lbs) 244 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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. |