Association rule mining : models and algorithms
著者
書誌事項
Association rule mining : models and algorithms
（Lecture notes in computer science, 2307 . Lecture notes in artificial intelligence）
Springer, c2002
大学図書館所蔵 件 / 全35件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
"Tutorial"--Cover
Bibliography: p. [229]-236
Includes index
内容説明・目次
内容説明
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.
目次
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.
「Nielsen BookData」 より
