Association rule mining : models and algorithms / Chengqi Zhang, Shichao Zhang.

By: Zhang, Chengqi, 1957-
Contributor(s): Zhang, Shichao
Material type: TextTextSeries: SerienbezeichnungLecture notes in computer science: 2307.; Lecture notes in computer science: Publisher: Berlin ; New York : Springer, ©2002Description: 1 online resource (xii, 238 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783540460275; 3540460276Subject(s): Association rule mining | Computer algorithms | Data Mining | Algorithmes | Association rule mining | Computer algorithms | Exploration de données | Bases de données -- GestionGenre/Form: Electronic books. Additional physical formats: Print version:: Association rule mining.DDC classification: 006.3 LOC classification: QA76.9.D343 | Z43 2002Online resources: Click here to access online
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.
Action note: digitized 2010 committed to preserveSummary: 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.
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Includes bibliographical references (pages 229-236) and index.

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.

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Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010. MiAaHDL

Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. MiAaHDL

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digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL

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.

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