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
Description
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.
Physical Description:1 online resource (ix, 536 pages) : illustrations.
Bibliography:Includes bibliographical references.
ISBN:9783790817911 (electronic bk.)
3790817910 (electronic bk.)
9783790825084 (print)
3790825085 (print)