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Item Details
Title: DATA MINING, ROUGH SETS AND GRANULAR COMPUTING
By: Tsau Young Lin (Editor), Yiyu Yao (Editor), L. A. Zadeh (Editor)
Format: Hardback

List price: £169.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 379081461X
ISBN 13: 9783790814613
Publisher: SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG
Pub. date: 10 April, 2002
Edition: 2002 ed.
Series: Studies in Fuzziness and Soft Computing 95
Pages: 537
Description: This volume is the result of a 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 theories underlying data mining, granular computing and rough set theory, and stresses their applications.
Synopsis: During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par- ticularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a different though related context, a new computing methodology called granular computing is emerging as a powerful tool for the conception, analysis and design of information/intelligent systems. In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw- ing together points (objects) which are related through similarity, proximity or functionality. In this perspective, granular computing has a position of centrality in data mining. Another methodology which has high relevance to data mining and plays a central role in this volume is that of rough set theory. Basically, rough set theory may be viewed as a branch of granular computing. However, its applications to data mining have predated that of granular computing.
Illustrations: 56 Tables, black and white; IX, 537 p.
Publication: Germany
Imprint: Physica-Verlag GmbH & Co
Returns: Returnable
Some other items by this author:
ACTIVE MEDIA TECHNOLOGY (PB)
ADVANCES IN INTELLIGENT COMPUTING - IPMU '94 (PB)
AN INTRODUCTION TO FUZZY LOGIC APPLICATIONS IN INTELLIGENT SYSTEMS (HB)
BRAIN INFORMATICS (PB)
COMPUTATIONAL INTELLIGENCE: SOFT COMPUTING AND FUZZY-NEURO INTEGRATION WITH APPLICATIONS (HB)
COMPUTATIONAL WEB INTELLIGENCE: INTELLIGENT TECHNOLOGY FOR WEB APPLICATIONS (HB)
COMPUTING WITH WORDS IN INFORMATION/INTELLIGENT SYSTEMS 1 (HB)
COMPUTING WITH WORDS IN INFORMATION/INTELLIGENT SYSTEMS 2 (HB)
DATA MINING, ROUGH SETS AND GRANULAR COMPUTING (PB)
DATA MINING: FOUNDATIONS AND PRACTICE (HB)
DATA MINING: FOUNDATIONS AND PRACTICE (PB)
FORGING NEW FRONTIERS: FUZZY PIONEERS I (PB)
FORGING NEW FRONTIERS: FUZZY PIONEERS II (PB)
FOUNDATIONS AND ADVANCES IN DATA MINING (HB)
FOUNDATIONS AND ADVANCES IN DATA MINING (PB)
FOUNDATIONS AND NOVEL APPROACHES IN DATA MINING (HB)
FOUNDATIONS AND NOVEL APPROACHES IN DATA MINING (PB)
FOUNDATIONS OF DATA MINING AND KNOWLEDGE DISCOVERY (HB)
FOUNDATIONS OF DATA MINING AND KNOWLEDGE DISCOVERY (PB)
FUZZY LOGIC AND THE INTERNET (HB)
FUZZY PARTIAL DIFFERENTIAL EQUATIONS AND RELATIONAL EQUATIONS (HB)
HYBRID INTELLIGENT SYSTEMS (HB)
ROUGH SET METHODS AND APPLICATIONS (HB)
ROUGH SET METHODS AND APPLICATIONS (PB)
ROUGH SETS (PB)
ROUGH SETS (PB)
ROUGH SETS AND CURRENT TRENDS IN COMPUTING (PB)
ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING (PB)
ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING (PB)
SOFT COMPUTING AND INTELLIGENT DATA ANALYSIS IN OIL EXPLORATION (HB)
SOFT COMPUTING FOR INFORMATION PROCESSING AND ANALYSIS (PB)
THE HANDBOOK OF APPLIED COMPUTATIONAL INTELLIGENCE (HB)
THRIVING ROUGH SETS (HB)
TRANSACTIONS ON COMPUTATIONAL SCIENCE (PB)
TRANSACTIONS ON COMPUTATIONAL SYSTEMS BIOLOGY (PB)
UNCERTAINTY IN INTELLIGENT AND INFORMATION SYSTEMS (HB)
UNCERTAINTY IN KNOWLEDGE BASES (PB)
WEB INTELLIGENCE (HB)
WEB INTELLIGENCE (PB)
WEB INTELLIGENCE - RESEARCH AND DEVELOPMENT (PB)
WEB INTELLIGENCE MEETS BRAIN INFORMATICS (PB)

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