Technical Rough Granular Computing in Knowledge Discovery and Data Mining (9783540708001)

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Author: Jaroslaw Stepaniuk
Publisher: Springer; 1 edition
Publish Date: Sep 26, 2008
Pages: 158

The book "Rough-Granular Computing in Knowledge Discovery and Data Mining" written by Professor Jaroslaw Stepaniuk is dedicated to methods based on a combination of the following three closely related and rapidly growing areas: granular computing, rough sets, and knowledge discovery and data mining (KDD). In the book, the KDD foundations based on the rough set approach and granular computing are discussed together with illustrative applications. In searching for relevant patterns or in inducing (constructing) classifiers in KDD, different kinds of granules are modeled. In this modeling process, granules called approximation spaces play a special rule. Approximation spaces are defined by neighborhoods of objects and measures between sets of objects. In the book, the author underlines the importance of approximation spaces in searching for relevant patterns and other granules on different levels of modeling for compound concept approximations. Calculi on such granules are used for modeling computations on granules in searching for target (sub) optimal granules and their interactions on different levels of hierarchical modeling. The methods based on the combination of granular computing, the rough and fuzzy set approaches allow for an efficient construction of the high quality approximation of compound concepts. Download: Buy Book at Lowest Price on Amazon

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	Study Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques (Massive Computing Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques (Massive Computing)748 pages \| Springer \| English \| ISBN-10: 038734294X \| RAR&PDF \| 39.19/44.21 MBThis book will give the reader a perspective into the core t ...
	Programming Soft Computing for Knowledge Discovery and Data Mining Oded Maimon, Lior Rokach, "Soft Computing for Knowledge Discovery and Data Mining"Springer \| 2007-11-26 \| ISBN: 0387699341 \| 434 pages \| PDF \| 3,3 MbData mining is the science and technology of exploring large and complex bodies of data in ...
	Study Rough-Granular Computing in Knowledge Discovery and Data Mining Jaroslaw Stepaniuk, “Rough-Granular Computing in Knowledge Discovery and Data Mining” Springer \| 2008-09-26 \| ISBN: 3540708006 \| 158 pages \| PDF \| 1,95 MB The book "Rough-Granular Computing in Knowledge Discovery and Data Mining" writte ...
	Programming Multimedia Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) Zhongfei Zhang, Ruofei Zhang, "Multimedia Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)" Chapman & Hall \| 2008 \| ISBN: 1584889667 \| 320 pages \| PDF \| 3,9 MB Collecting the latest developments in the f ...
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