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Rough Set Theory: a True Landmark in Data Analysis - Studies in Computational Intelligence
Ajith Abraham
Rough Set Theory: a True Landmark in Data Analysis - Studies in Computational Intelligence
Ajith Abraham
Part 1 of this book deals with theoretical contributions of rough set theory, and parts 2 and 3 focus on several real world data mining applications. The book thoroughly explores recent results in rough set research.
340 pages, 124 black & white tables, biography
Media | Books Hardcover Book (Book with hard spine and cover) |
Released | February 26, 2009 |
ISBN13 | 9783540899204 |
Publishers | Springer-Verlag Berlin and Heidelberg Gm |
Pages | 340 |
Dimensions | 156 × 234 × 20 mm · 653 g |
Language | French |
Editor | Abraham, Ajith |
Editor | Bello, Rafael |
Editor | Falcon, Rafael |
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