Advanced Data Mining and Applications: Second International Conference, ADMA 2006, Xi'an, China, August 14-16, 2006, Proceedings
Author:   Xue Li ,  Osmar R. Zaiane ,  Zhanhuai Li
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2006 ed.
Volume:   4093
ISBN:  

9783540370253


Pages:   1114
Publication Date:   26 July 2006
Format:   Paperback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Advanced Data Mining and Applications: Second International Conference, ADMA 2006, Xi'an, China, August 14-16, 2006, Proceedings


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Overview

Here are the proceedings of the 2nd International Conference on Advanced Data Mining and Applications, ADMA 2006, held in Xi'an, China, August 2006. The book presents 41 revised full papers and 74 revised short papers together with 4 invited papers. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, and more.

Full Product Details

Author:   Xue Li ,  Osmar R. Zaiane ,  Zhanhuai Li
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2006 ed.
Volume:   4093
Dimensions:   Width: 15.50cm , Height: 5.60cm , Length: 23.50cm
Weight:   1.680kg
ISBN:  

9783540370253


ISBN 10:   3540370250
Pages:   1114
Publication Date:   26 July 2006
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Invited Papers.- Association Rules.- Classification.- Clustering.- Novel Algorithms.- Text Mining.- Multimedia Mining.- Sequential Data Mining and Time Series Mining.- Web Mining.- Biomedical Mining.- Advanced Applications.- Security and Privacy Issues.- Spatial Data Mining.- Streaming Data Mining.

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