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Data Mining, Rough Sets and Granular Computing

by Tsau Young Lin
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Current price ₹10,900.00
Original price ₹16,769.00
Original price ₹16,769.00
Original price ₹16,769.00
(-35%)
₹10,900.00
Current price ₹10,900.00

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Book cover type: Hardcover
  • ISBN13: 9783790814613
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Physica-Verlag
  • Publication Date:
  • Pages: 537
  • Original Price: EUR 149.99
  • Language: English
  • Edition: 2002
  • Item Weight: 962 grams
  • BISAC Subject(s): Artificial Intelligence / General, General, and Database Administration & Management

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.

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