Foundations of Data Mining and Knowledge Discovery. Cet article n’est pas disponible.
Langue : anglais
Edité par Springer, Berlin, Springer, 2005
- Livre relié
- Neuf

Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
Vendeur AbeBooks depuis 14 août 2006
Etat: Neuf
EUR 219,80
A propos de cet article
Neuware - 'Foundations of Data Mining and Knowledge Discovery' contains the latest results and new directions in data mining research. Data mining, which integrates various technologies, including computational intelligence, database and knowledge management, machine learning, soft computing, and statistics, is one of the fastest growing fields in computer science. Although many data mining techniques have been developed, further development of the field requires a close examination of its foundations. This volume presents the results of investigations into the foundations of the discipline, and represents the state of the art for much of the current research. This book will prove extremely valuable and fruitful for data mining researchers, no matter whether they would like to uncover the fundamental principles behind data mining, or apply the theories to practical applications.
N° de réf. du vendeur 9783540262572
- Titre
- Foundations of Data Mining and Knowledge Discovery
- Auteur
- Tsau Young Lin
- Éditeur
- Springer, Berlin, Springer
- Année de publication
- 2005
- État de l'article
- Neu
- Reliure
- Buch
- Langue
- anglais
- ISBN à 10 chiffres
- 3540262571
- ISBN à 13 chiffres
- 9783540262572
- Poids de l'article
- 708 grammes
- Dimensions
- 234x187x35 mm
"Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research. Data mining, which integrates various technologies, including computational intelligence, database and knowledge management, machine learning, soft computing, and statistics, is one of the fastest growing fields in computer science. Although many data mining techniques have been developed, further development of the field requires a close examination of its foundations. This volume presents the results of investigations into the foundations of the discipline, and represents the state of the art for much of the current research. This book will prove extremely valuable and fruitful for data mining researchers, no matter whether they would like to uncover the fundamental principles behind data mining, or apply the theories to practical applications.
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