Data Mining, Rough Sets and Granular Computing (2002) (Studies in Fuzziness and Soft Computing #95)
By: and and
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- 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.
- Copyright:
- 2002
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783790817911
- Related ISBNs:
- 9783790814613
- Publisher:
- Physica-Verlag HD
- Date of Addition:
- 07/12/22
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Tsau Young Lin
- Edited by:
- Yiyu Y. Yao
- Edited by:
- Lotfi A. Zadeh
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- by Tsau Young Lin
- by Yiyu Y. Yao
- by Lotfi A. Zadeh
- in Nonfiction
- in Computers and Internet