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Synopsis
This book integrates two areas of computer science, namely data mining and evolutionary algorithms (EAs). In essence, data mining consists of extracting interesting knowledge from data. The book presents a comprehensive review of both data mining and EAs and discusses significant advances in the integration of these two areas. It is self-contained, explaining both basic concepts and advanced topics.
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This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics
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Data Mining and Knowledge Discovery with Evolutionary Algorithms
Edité par
Springer, 2002
ISBN 10 : 3540433317
ISBN 13 : 9783540433316
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Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.2. N° de réf. du vendeur G3540433317I4N00
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Data Mining and Knowledge Discovery with Evolutionary Algorithms
Edité par
Springer, 2002
ISBN 10 : 3540433317
ISBN 13 : 9783540433316
Ancien ou d'occasion
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Etat : Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. N° de réf. du vendeur Z1-R-024-02124
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Data Mining and Knowledge Disc
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Springer, 2002
ISBN 10 : 3540433317
ISBN 13 : 9783540433316
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Data Mining and Knoweledge Discovery with Evolutionary Algorithms
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Springer, New York, 2002
ISBN 10 : 3540433317
ISBN 13 : 9783540433316
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Hardcover. Etat : Good. Etat de la jaquette : No Dust Jacket. First U.S. Edition. An ex-library copy in pictorial green hard covers. The usual ex-libris markings, clean within. The binding is sound, and there is little wear to the covers. No dust jacket, apparently as issued. Book. N° de réf. du vendeur 045792
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Data Mining and Knowledge Discovery with Evolutionary Algorithms
Edité par
Springer, 2002
ISBN 10 : 3540433317
ISBN 13 : 9783540433316
Ancien ou d'occasion
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Hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! N° de réf. du vendeur S_378345438
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Data Mining and Knowledge Discovery with Evolutionary Algorithms
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Springer Berlin Heidelberg, 2002
ISBN 10 : 3540433317
ISBN 13 : 9783540433316
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Vendeur : moluna, Greven, Allemagne
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book integrates two areas of computer science, namely data mining and evolutionary algorithms (EAs). In essence, data mining consists of extracting interesting knowledge from data. The book presents a comprehensive review of both data mining and EAs an. N° de réf. du vendeur 4890387
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Data Mining and Knowledge Discovery with Evolutionary Algorithms
Edité par
Springer Berlin Heidelberg, 2002
ISBN 10 : 3540433317
ISBN 13 : 9783540433316
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses the integration of two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increas ingly popular in the last few years, and their integration is currently an area of active research. In essence, data mining consists of extracting valid, comprehensible, and in teresting knowledge from data. Data mining is actually an interdisciplinary field, since there are many kinds of methods that can be used to extract knowledge from data. Arguably, data mining mainly uses methods from machine learning (a branch of artificial intelligence) and statistics (including statistical pattern recog nition). Our discussion of data mining and evolutionary algorithms is primarily based on machine learning concepts and principles. In particular, in this book we emphasize the importance of discovering comprehensible, interesting knowledge, which the user can potentially use to make intelligent decisions. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions (rules or another form of knowl edge representation). In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search. N° de réf. du vendeur 9783540433316
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Data Mining and Knowledge Discovery with Evolutionary Algorithms
Edité par
Springer Berlin Heidelberg Aug 2002, 2002
ISBN 10 : 3540433317
ISBN 13 : 9783540433316
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics 280 pp. Englisch. N° de réf. du vendeur 9783540433316
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Data Mining and Knowledge Discovery with Evolutionary Algorithms
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. In. N° de réf. du vendeur ria9783540433316_new
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Data Mining and Knowledge Discovery with Evolutionary Algorithms
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2002, 2002
ISBN 10 : 3540433317
ISBN 13 : 9783540433316
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Neuware -This book addresses the integration of two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increas ingly popular in the last few years, and their integration is currently an area of active research. In essence, data mining consists of extracting valid, comprehensible, and in teresting knowledge from data. Data mining is actually an interdisciplinary field, since there are many kinds of methods that can be used to extract knowledge from data. Arguably, data mining mainly uses methods from machine learning (a branch of artificial intelligence) and statistics (including statistical pattern recog nition). Our discussion of data mining and evolutionary algorithms is primarily based on machine learning concepts and principles. In particular, in this book we emphasize the importance of discovering comprehensible, interesting knowledge, which the user can potentially use to make intelligent decisions. In a nutshell, the motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions (rules or another form of knowl edge representation). In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 280 pp. Englisch. N° de réf. du vendeur 9783540433316
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