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9783642101670: Foundations of Computational Intelligence: Volume 6: Data Mining

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ISBN 10 : 3642101674 ISBN 13 : 9783642101670

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Computational tools or solutions based on intelligent systems are being used effectively in data mining applications. This book, one of a series on the foundations of Computational Intelligence, is focused on applications of techniques for data mining.

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�diteurSpringer
Date d'�dition2010
ISBN 10 3642101674
ISBN 13 9783642101670
ReliureBroch�
Langueanglais
Nombre de pages412
�diteurAbraham Ajith, Hassanien Aboul-Ella, Carvalho Andr� Ponce De Leon F. De, Sn�šel Vaclav
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Foundations of Computational Intelligence

Abraham, Ajith|Hassanien, Aboul-Ella|Carvalho, Andr� Ponce de Leon F. de|Sn�sel, V�clav

Edit� par Springer Berlin Heidelberg, 2010

ISBN 10 : 3642101674 ISBN 13 : 9783642101670

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Sixth volume of a Reference work on the foundations of Computational IntelligenceDevoted to Data MiningFoundations of Computational Intelligence Volume 6: Data Mining: Theoretical Foundations and Applications Finding information hidden . N� de r�f. du vendeur 5049144

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Foundations of Computational Intelligence : Volume 6: Data Mining

Ajith Abraham

Edit� par Springer Berlin Heidelberg, 2010

ISBN 10 : 3642101674 ISBN 13 : 9783642101670

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Foundations of Computational Intelligence Volume 6: Data Mining: Theoretical Foundations and Applications Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, business, health care, banking, retail, and many others. Advanced representation schemes and computational intelligence techniques such as rough sets, neural networks; decision trees; fuzzy logic; evolutionary algorithms; arti- cial immune systems; swarm intelligence; reinforcement learning, association rule mining, Web intelligence paradigms etc. have proved valuable when they are - plied to Data Mining problems. Computational tools or solutions based on intel- gent systems are being used with great success in Data Mining applications. It is also observed that strong scientific advances have been made when issues from different research areas are integrated. This Volume comprises of 15 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Int- ligence techniques for Data Mining. The book is divided into 3 parts: Part-I: Data Click Streams and Temporal Data Mining Part-II: Text and Rule Mining Part-III: Applications Part I on Data Click Streams and Temporal Data Mining contains four chapters that describe several approaches in Data Click Streams and Temporal Data Mining. N� de r�f. du vendeur 9783642101670

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Foundations of Computational Intelligence

Ajith Abraham

Edit� par Springer Berlin Heidelberg Okt 2010, 2010

ISBN 10 : 3642101674 ISBN 13 : 9783642101670

Neuf Taschenbuch

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Foundations of Computational Intelligence Volume 6: Data Mining: Theoretical Foundations and Applications Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, business, health care, banking, retail, and many others. Advanced representation schemes and computational intelligence techniques such as rough sets, neural networks; decision trees; fuzzy logic; evolutionary algorithms; arti- cial immune systems; swarm intelligence; reinforcement learning, association rule mining, Web intelligence paradigms etc. have proved valuable when they are - plied to Data Mining problems. Computational tools or solutions based on intel- gent systems are being used with great success in Data Mining applications. It is also observed that strong scientific advances have been made when issues from different research areas are integrated. This Volume comprises of 15 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Int- ligence techniques for Data Mining. The book is divided into 3 parts: Part-I: Data Click Streams and Temporal Data Mining Part-II: Text and Rule Mining Part-III: Applications Part I on Data Click Streams and Temporal Data Mining contains four chapters that describe several approaches in Data Click Streams and Temporal Data Mining. 412 pp. Englisch. N� de r�f. du vendeur 9783642101670

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