Data mining, rough sets, and granular computing / Tsau Young Lin, Yiyu Y. Yao, Lotfi A. Zadeh, editors.
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...
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| Online Access: |
Full Text (via Springer) |
|---|---|
| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Heidelberg ; New York :
Physica-Verlag,
[2002]
|
| Series: | Studies in fuzziness and soft computing ;
v. 95. |
| Subjects: |
MARC
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| 245 | 0 | 0 | |a Data mining, rough sets, and granular computing / |c Tsau Young Lin, Yiyu Y. Yao, Lotfi A. Zadeh, editors. |
| 264 | 1 | |a Heidelberg ; |a New York : |b Physica-Verlag, |c [2002] | |
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| 490 | 1 | |a Studies in fuzziness and soft computing ; |v volume 95. | |
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | 0 | |t Preface / |r T.Y. Lin, Y.Y. Yao and L.A. Zadeh -- |g pt. 1. |t Granular Computing -- A New Paradigm. |t Some Reflections on Information Granulation and its Centrality in Granular Computing, Computing with Words, the Computational Theory of Perceptions and Precisiated Natural Language / |r L.A. Zadeh -- |g pt. 2. |t Granular Computing in Data Mining. |t Data Mining Using Granular Computing: Fast Algorithms for Finding Association Rules / |r T.Y. Lin and E. Louie. |t Knowledge Discovery with Words Using Cartesian Granule Features: An Analysis for Classification Problems / |r J.G. Shanahan. |t Validation of Concept Representation with Rule Induction and Linguistic Variables / |r S. Tsumoto. |t Granular Computing Using Information Tables / |r Y.Y. Yao and N. Zhong. |
| 520 | |a 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. | ||
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| 650 | 7 | |a Soft computing. |2 fast |0 (OCoLC)fst01124115. | |
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| 700 | 1 | |a Yao, Yiyu. |0 http://id.loc.gov/authorities/names/nb2002013458 |1 http://isni.org/isni/0000000115845266. | |
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