Advanced data mining and applications : 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013 : proceedings. Part II /

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Bibliographic Details
Meeting name:	ADMA (Conference) (9th : 2013 : Hangzhou Shi, China)
Imprint:	Heidelberg : Springer, [2013] ©2013
Description:	1 online resource (xxi, 538 pages) : illustrations.
Language:	English
Series:	Lecture notes in computer science. Lecture notes in artificial intelligence Lecture notes in computer science, 1611-3349 ; 8346-8347 LNCS sublibrary. SL 7, Artificial intelligence LNCS sublibrary. SL 7, Artificial intelligence. Lecture notes in computer science. Lecture notes in artificial intelligence. Lecture notes in computer science ; 8347.
Subject:	Computer science -- Congresses. Data mining -- Congresses. Information storage and retrieval systems -- Congresses. Artificial intelligence -- Congresses. Artificial intelligence. Computer science. Data mining. Information storage and retrieval systems. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11082484
Related Items:	(MP): Advanced data mining and applications

Hidden Bibliographic Details
Varying Form of Title:	ADMA 2013
Other authors / contributors:	Motoda, Hiroshi, editor. Wang, Wei, editor. Yao, Min, editor. Zaïane, Osmar, editor. Cao, Longbing, 1969- editor. Wu, Zhaohui, 1966- editor.
ISBN:	9783642539176 3642539173 9783642539169 3642539165
Notes:	Includes bibliographical references and index.
Summary:	The two-volume set LNCS 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 this volume 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.
Other form:	Print version: ADMA (Conference) (9th : 2013 : Hangzhou Shi, China). Advanced data mining and applications. Heidelberg : Springer, [2013] 9783642539138
Standard no.:	10.1007/978-3-642-53917-6

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