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Association Rule Mining : Models and Algorithms / by Chengqi Zhang, Shichao Zhang.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Author/Creator:
- Zhang, Chengqi, 1957- author.
- Zhang, Shichao, author.
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 2307.
- Lecture Notes in Artificial Intelligence ; 2307
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Database management.
- Information storage and retrieval.
- Algorithms.
- Artificial Intelligence.
- Database Management.
- Information Storage and Retrieval.
- Algorithm Analysis and Problem Complexity.
- Local Subjects:
- Artificial Intelligence.
- Database Management.
- Information Storage and Retrieval.
- Algorithm Analysis and Problem Complexity.
- Physical Description:
- 1 online resource (XII, 244 pages).
- Edition:
- First edition 2002.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.
- System Details:
- text file PDF
- Summary:
- 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.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-540-46027-5
- 9783540460275
- Access Restriction:
- Restricted for use by site license.
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