Association rule mining : models and algorithms

Author(s)

• Zhang, Chengqi
• Zhang, Shichao

Bibliographic Information

Association rule mining : models and algorithms

Chengqi Zhang, Shichao Zhang

（Lecture notes in computer science, 2307 . Lecture notes in artificial intelligence）

Springer, c2002

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"

• NCID: BA56655507
• ISBN:
  • 3540435336
• Country Code: gw
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Berlin
• Pages/Volumes: xii, 238 p.
• Size: 24 cm
• Subject Headings:
  • LCSH : Data mining
  • LCSH : Rule-based programming
  • LCSH : Computer algorithms
• Parent Bibliography ID:
  • BA00009279