Advanced Data Mining and Applications

Hiroshi Motoda

ISBN 10: 3642539130 / ISBN 13: 9783642539138

Published by Springer Berlin Heidelberg Jan 2014, 2014

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -The two-volume set LNAI 8346 and 8347 constitutes the thoroughly refereed proceedings of the 9th International Conference on Advanced Data Mining and Applications, ADMA 2013, held in Hangzhou, China, in December 2013. The 32 regular papers and 64 short papers presented in these two volumes were carefully reviewed and selected from 222 submissions. The papers included in these two volumes cover the following topics: opinion mining, behavior mining, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification, clustering, association rule mining, pattern mining, regression, predication, feature extraction, identification, privacy preservation, applications, and machine learning. 612 pp. Englisch.

Seller Inventory # 9783642539138

Bibliographic Details

• Title: Advanced Data Mining and Applications
• Publisher: Springer Berlin Heidelberg Jan 2014
• Publication Date: 2014
• Language: English
• ISBN 10: 3642539130
• ISBN 13: 9783642539138
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

The two-volume set LNAI 8346 and 8347 constitutes the thoroughly refereed proceedings of the 9th International Conference on Advanced Data Mining and Applications, ADMA 2013, held in Hangzhou, China, in December 2013.
The 32 regular papers and 64 short papers presented in these two volumes were carefully reviewed and selected from 222 submissions. The papers included in these two volumes cover the following topics: opinion mining, behavior mining, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification, clustering, association rule mining, pattern mining, regression, predication, feature extraction, identification, privacy preservation, applications, and machine learning.