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.
Publisher: Springer-Verlag New York Inc.
Number of pages: 436
Weight: 679 g
Dimensions: 235 x 155 x 23 mm
Edition: Softcover reprint of the original 1st ed. 199
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