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Item Details
Title: DEVELOPING MULTI-DATABASE MINING APPLICATIONS
By: Animesh Adhikari, Pralhad Ramachandrarao, Witold Pedrycz
Format: Paperback

List price: £103.50


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 1447125630
ISBN 13: 9781447125631
Publisher: SPRINGER LONDON LTD
Pub. date: 7 September, 2012
Series: Advanced Information and Knowledge Processing
Pages: 130
Description: Multi-database mining has been recognized as a strategically essential area of research in data mining. This book discusses various issues regarding the systematic and efficient development of multi-database mining applications.
Synopsis: 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.
Illustrations: 31 black & white tables, biography
Publication: UK
Imprint: Springer London Ltd
Returns: Returnable
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HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS (PB)
INFORMATION GRANULARITY, BIG DATA, AND COMPUTATIONAL INTELLIGENCE (HB)
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