Data mining, rough sets, and granular computing /

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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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Lin, Tsau Y., 1937-, Yao, Yiyu, Zadeh, Lotfi A. (Lotfi Asker)
Format: eBook
Language:English
Published: Heidelberg ; New York : Physica-Verlag, [2002]
Series:Studies in fuzziness and soft computing ; v. 95.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Preface / T. Y. Lin, Y. Y. Yao and L. A. Zadeh
  • Pt. 1. Granular Computing
  • A New Paradigm. Some Reflections on Information Granulation and its Centrality in Granular Computing, Computing with Words, the Computational Theory of Perceptions and Precisiated Natural Language / L. A. Zadeh
  • Pt. 2. Granular Computing in Data Mining. Data Mining Using Granular Computing: Fast Algorithms for Finding Association Rules / T. Y. Lin and E. Louie. Knowledge Discovery with Words Using Cartesian Granule Features: An Analysis for Classification Problems / J. G. Shanahan. Validation of Concept Representation with Rule Induction and Linguistic Variables / S. Tsumoto. Granular Computing Using Information Tables / Y. Y. Yao and N. Zhong.