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.
Author: Chengqi Zhang, Shichao Zhang
Publisher: Springer
Published: 04/10/2002
Pages: 244
Binding Type: Paperback
Weight: 0.87lbs
Size: 9.32h x 6.36w x 0.60d
ISBN13: 9783540435334
ISBN10: 3540435336
BISAC Categories:
- Computers | Artificial Intelligence | General
- Medical | General
- Computers | System Administration | Storage & Retrieval
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.
Author: Chengqi Zhang, Shichao Zhang
Publisher: Springer
Published: 04/10/2002
Pages: 244
Binding Type: Paperback
Weight: 0.87lbs
Size: 9.32h x 6.36w x 0.60d
ISBN13: 9783540435334
ISBN10: 3540435336
BISAC Categories:
- Computers | Artificial Intelligence | General
- Medical | General
- Computers | System Administration | Storage & Retrieval
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