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Ajouter au panierEtat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Ajouter au panierTaschenbuch. Etat : 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.
Langue: anglais
Edité par Springer Berlin Heidelberg, 2008
ISBN 10 : 3540708006 ISBN 13 : 9783540708001
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Ajouter au panierGebunden. Etat : 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.
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Langue: anglais
Edité par Springer Berlin Heidelberg, 2010
ISBN 10 : 3642089720 ISBN 13 : 9783642089725
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Ajouter au panierTaschenbuch. Etat : 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.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Ajouter au panierEtat : New. In.
Langue: anglais
Edité par Springer, 2008
Vendeur : Books in my Basket, New Delhi, Inde
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Ajouter au panierHardcover. Etat : New. ISBN:9783540708001.
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Ajouter au panierPaperback. Etat : Like New. Like New. book.
Langue: anglais
Edité par Springer, Berlin, Springer, 2008
ISBN 10 : 3540708006 ISBN 13 : 9783540708001
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Ajouter au panierBuch. Etat : 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.
Langue: anglais
Edité par Springer, 2008
Vendeur : Books in my Basket, New Delhi, Inde
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Ajouter au panierHardcover. Etat : New. ISBN:9783540708001.
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Ajouter au panierHardcover. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
Langue: anglais
Edité par Springer Berlin Heidelberg Okt 2010, 2010
ISBN 10 : 3642089720 ISBN 13 : 9783642089725
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Ajouter au panierTaschenbuch. Etat : 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.
Langue: anglais
Edité par Springer Berlin Heidelberg, 2010
ISBN 10 : 3642089720 ISBN 13 : 9783642089725
Vendeur : moluna, Greven, Allemagne
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Ajouter au panierEtat : 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.
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Ajouter au panierEtat : New. PRINT ON DEMAND pp. 174.
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Ajouter au panierEtat : 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.
Langue: anglais
Edité par Springer, Springer Okt 2010, 2010
ISBN 10 : 3642089720 ISBN 13 : 9783642089725
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Ajouter au panierTaschenbuch. Etat : 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.