Association Rule Mining

Shichao Zhang

ISBN 10: 3540435336 / ISBN 13: 9783540435334

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2002, 2002

About this Item

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 256 pp. Englisch.

Seller Inventory # 9783540435334

Bibliographic Details

• Title: Association Rule Mining
• Publisher: Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2002
• Publication Date: 2002
• Language: English
• ISBN 10: 3540435336
• ISBN 13: 9783540435334
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 233W x 155H x 15D millimeters 233 millimeters width by 155 millimeters height by 15 millimeters depth
• Weight: 391 grams

About this title

Synopsis

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.