Association rule mining : models and algorithms
Author(s)
Bibliographic Information
Association rule mining : models and algorithms
（Lecture notes in computer science, 2307 . Lecture notes in artificial intelligence）
Springer, c2002
Available at / 35 libraries
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Library, Research Institute for Mathematical Sciences, Kyoto University数研
L/N||LNCS||230702011658
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University of Tsukuba Library, Library on Library and Information Science
007.08:L-49:2307021001060
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Note
"Tutorial"--Cover
Bibliography: p. [229]-236
Includes index
Description and Table of Contents
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.
Table of Contents
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.
by "Nielsen BookData"
