Data Mining, Rough Sets and Granular Computing

ISBN 10: 379081461X / ISBN 13: 9783790814613

Verlag: Physica, 2002

Beschreibung

No DJ. Crease of title page from paper clip. No other marks in book. Appears unread. Coalesces concepts and techniques of granular computing wity rough set theory. Editors: Tsau Young Lin; Yiyu Y. Yao; Lotfi A. Zodeh.

Bestandsnummer des Verkäufers mon0000012959

Bibliografische Details

• Titel: Data Mining, Rough Sets and Granular Computing
• Verlag: Physica
• Erscheinungsjahr: 2002
• Sprache: Englisch
• ISBN-10: 379081461X
• ISBN-13: 9783790814613
• Einband: Hardcover
• Zustand: Fine

Über diesen Titel

Inhaltsangabe

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.