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Rough Set Theory: A True Landmark in Data Analysis

A True Landmark in Data Analysis

Language EnglishEnglish
Book Hardback
Book Rough Set Theory: A True Landmark in Data Analysis Ajith Abraham
Libristo code: 01571102
Publishers Springer, Berlin, November 2008
Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for d... Full description
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Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still keeping an eye on topological aspects of the theory as well as strengthening its linkage with other soft computing paradigms. The volume comprises 11 chapters and is organized into three parts. Part 1 deals with theoretical contributions while Parts 2 and 3 focus on several real world data mining applications. Chapters authored by pioneers were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed. Academics, scientists as well as engineers working in the rough set, computational intelligence, soft computing and data mining research area will find the comprehensive coverage of this book invaluable.

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About the book

Full name Rough Set Theory: A True Landmark in Data Analysis
Language English
Binding Book - Hardback
Date of issue 2009
Number of pages 324
EAN 9783540899204
ISBN 3540899200
Libristo code 01571102
Publishers Springer, Berlin
Weight 634
Dimensions 162 x 239 x 20
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