J Stepaniuk (17 results)

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Taschenbuch. Condition: Neu. Rough - Granular Computing in Knowledge Discovery and Data Mining | J. Stepaniuk | Taschenbuch | Studies in Computational Intelligence | xiv | Englisch | 2010 | Springer | EAN 9783642089725 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Gebunden. Condition: New. Presents recent research in Rough - Granular Computing in Knowledge Discovery and Data MiningI: Rough Set Methodology.- Rough Sets.- Data Reduction.- II: Classification and Clustering.- Selected Classification Methods.- Selected Clustering Method.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 approximationspaces in searching for relevant patterns and other granules on dfferent 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 effcient construction of the high quality approximation of compound concepts.

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Buch. Condition: Neu. Neuware - 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 approximationspaces in searching for relevant patterns and other granules on dfferent 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 effcient construction of the high quality approximation of compound concepts.

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 approximationspaces in searching for relevant patterns and other granules on dfferent 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 effcient construction of the high quality approximation of compound concepts. 172 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents recent research in Rough - Granular Computing in Knowledge Discovery and Data MiningI: Rough Set Methodology.- Rough Sets.- Data Reduction.- II: Classification and Clustering.- Selected Classification Methods.- Selected Clustering Method.

Condition: New. Print on Demand pp. 174 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Condition: New. PRINT ON DEMAND pp. 174.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -I: Rough Set Methodology.- Rough Sets.- Data Reduction.- II: Classification and Clustering.- Selected Classification Methods.- Selected Clustering Methods.- A Medical Case Study.- III: Complex Data and Complex Concepts.- Mining Knowledge from Complex Data.- Complex Concept Approximations.- IV: Conclusions, Bibliography and Further Readings.- Concluding Remarks.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 172 pp. Englisch.