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Data mining, rough sets, and granular computing / Tsau Young Lin, Yiyu Y. Yao, Lotfi A. Zadeh, editors.
LIBRA QA76.9.D343 D3837 2002
Available from offsite location
- Format:
- Book
- Series:
- Studies in fuzziness and soft computing ; v. 95.
- Studies in fuzziness and soft computing ; v. 95
- Language:
- English
- Subjects (All):
- Data mining.
- Soft computing.
- Physical Description:
- ix, 536 pages : illustrations ; 24 cm.
- Place of Publication:
- Heidelberg ; New York : Physica-Verlag, [2002]
- Summary:
- This volume is the result of a two-year project aimed at coalescing the concepts and techniques of granular computing on one side, and rough set theory on another. It consists of a collection of up-to-date and authoritative expositions of the basic theories underlying data mining, granular computing and rough set theory, and stresses their wide-ranging applications. A principal aim of the work is to stimulate an exploration of ways in which progress in data mining can be enhanced through integration with granular computing and rough set theory.
- Notes:
- "With 104 figures and 56 tables."
- Includes bibliographical references.
- ISBN:
- 379081461X
- OCLC:
- 49285696
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