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Rough Sets and Data Mining - Analysis of Imprecise Data (Paperback, Softcover reprint of the original 1st ed. 1997)
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Rough Sets and Data Mining - Analysis of Imprecise Data (Paperback, Softcover reprint of the original 1st ed. 1997)
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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.
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