Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8346)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): ADMA: International Conference on Advanced Data Mining and Applications
Conference proceedings info: ADMA 2013.
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Table of contents (49 papers)
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Front Matter
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Opinion Mining
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Sequential Data Mining
Other Volumes
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Advanced Data Mining and Applications
About this book
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.
Editors and Affiliations
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US Air Force Office of Scientific Research, Tokyo, Japan
Hiroshi Motoda
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School of Computer Science and Technology, Zhejiang University, Hangzhou, China
Zhaohui Wu
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Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia
Longbing Cao
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Department of Computing Science, University of Alberta, Edmonton, Canada
Osmar Zaiane
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College of Computer Science and Technology, Zhejiang University, Hangzhou, China
Min Yao
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School of Computer Science, Fudan University, Shanghai, China
Wei Wang
Bibliographic Information
Book Title: Advanced Data Mining and Applications
Book Subtitle: 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part I
Editors: Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-53914-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Softcover ISBN: 978-3-642-53913-8Published: 07 January 2014
eBook ISBN: 978-3-642-53914-5Published: 14 December 2013
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXII, 588
Number of Illustrations: 217 b/w illustrations
Topics: Artificial Intelligence, Data Mining and Knowledge Discovery, Information Storage and Retrieval
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