Developing Multi-Database Mining Applications

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Éditeur :

Springer


Collection :

Advanced Information and Knowledge Processing

Paru le : 2010-06-14

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Description
Multi-database mining has been recognized recently as an important and strategically essential area of research in data mining. In this book, we discuss various issues regarding the systematic and efficient development of multi-database mining applications. It explains how systematically one could prepare data warehouses at different branches. As appropriate multi-database mining technique is essential to develop better applications. Also, the efficiency of a multi-database mining application could be improved by processing more patterns in the application. A faster algorithm could also play an important role in developing a better application. Thus the efficiency of a multi-database mining application could be enhanced by choosing an appropriate multi-database mining model, an appropriate pattern synthesizing technique, a better pattern representation technique, and an efficient algorithm for solving the problem. This book illustrates each of these issues either in the context of a specific problem, or in general.
Pages
130 pages
Collection
Advanced Information and Knowledge Processing
Parution
2010-06-14
Marque
Springer
EAN papier
9781849960434
EAN EPUB
9781849960441

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
13
Taille du fichier
850 Ko
Prix
94,94 €