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Rough Sets and Data Mining: Analysis of Imprecise Data
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by T.Y. Lin and N. Cercone
Sales Rank: 2459334
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List Price: $285.00
$285.00
At Amazon
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Hardcover: 452 pages
Publisher: Springer; 1 edition November 30, 1996
Language: English
ISBN-10: 0792398076
ISBN-13: 978-0792398073
Product Dimensions:
9.6 x 6.6 x 1.2 inches
Shipping Weight: 1.7 pounds
Product Description
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.
Customer Reviews & Comments
This is a very good book on advanced topics of Rough set theory. There are several good research papers which might help understand how to apply rough set theory in data mining. If you are rough set theory beginner - this book is not for you.
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Rough Sets and Data Mining: Analysis of Imprecise Data
List Price: $285.00
Available from Amazon
Price: $285.00
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