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Editore: Information Science Reference, 2010
ISBN 10: 1615207570 ISBN 13: 9781615207572
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Lingua: Inglese
Editore: Information Science Reference, 2010
ISBN 10: 1615207570 ISBN 13: 9781615207572
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Lingua: Inglese
Editore: Information Science Reference, 2011
ISBN 10: 1615207570 ISBN 13: 9781615207572
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnAs the applications of data mining, the non-trivial extraction of implicit information in a data set, have expanded in recent years, so has the need for techniques that are tolerable to imprecision, uncertainty, and approximation.
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Lingua: Inglese
Editore: Information Science Reference, 2011
ISBN 10: 1615207570 ISBN 13: 9781615207572
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Aggiungi al carrelloBuch. Condizione: Neu. Intelligent Soft Computation and Evolving Data Mining | Integrating Advanced Technologies | Leon Shyue-Liang Wang (u. a.) | Buch | Gebunden | Englisch | 2011 | Information Science Reference | EAN 9781615207572 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Information Science Reference, 2010
ISBN 10: 1615207570 ISBN 13: 9781615207572
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As the applications of data mining, the non-trivial extraction of implicit information in a data set, have expanded in recent years, so has the need for techniques that are tolerable to imprecision, uncertainty, and approximation. Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technologies is a compendium that addresses this need. It integrates contrasting techniques of conventional hard computing and soft computing to exploit the tolerance for imprecision, uncertainty, partial truth, and approximation to achieve tractability, robustness and low-cost solution. This book provides a reference to researchers, practitioners, and students in both soft computing and data mining communities, forming a foundation for the development of the field.