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Rough Sets and Data Mining

Name: Rough Sets and Data Mining
Brand: Springer
SKU: 01398469
Price: 59474 HUF
Availability: InStock
Author: T.Y. Lin
ISBN: 9780792398073

Analysis of Imprecise Data

T.Y. Lin

N. Cercone

Language

English

Book Hardback

Libristo code: 01398469

Publishers Springer, November 1996

Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters... Full description

Libristo code: 01398469

406 b

59 474 Ft

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Rough Sets and Data Mining: Analysis of Imprecise Data is an edited collection of research chapters on the most recent developments in rough set theory and data mining. The chapters in this work cover a range of topics that focus on discovering dependencies among data, and reasoning about vague, uncertain and imprecise information. The authors of these chapters have been careful to include fundamental research with explanations as well as coverage of rough set tools that can be used for mining data bases. The contributing authors consist of some of the leading scholars in the fields of rough sets, data mining, machine learning and other areas of artificial intelligence. Among the list of contributors are Z. Pawlak, J Grzymala-Busse, K. Slowinski, and others. Rough Sets and Data Mining: Analysis of Imprecise Data will be a useful reference work for rough set researchers, data base designers and developers, and for researchers new to the areas of data mining and rough sets.