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New frontiers in mining complex patt...

Appice, Annalisa.

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New frontiers in mining complex patterns = third International Workshop, NFMCP 2014, held in conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	New frontiers in mining complex patterns/ edited by Annalisa Appice ... [et al.].
其他題名:	third International Workshop, NFMCP 2014, held in conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014 : revised selected papers /
其他題名:	NFMCP 2014
其他作者:	Appice, Annalisa.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	xii, 211 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Data mining -
電子資源:	http://dx.doi.org/10.1007/978-3-319-17876-9
ISBN:	9783319178769 (electronic bk.)

New frontiers in mining complex patterns = third International Workshop, NFMCP 2014, held in conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014 : revised selected papers /
New frontiers in mining complex patternsthird International Workshop, NFMCP 2014, held in conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014 : revised selected papers /[electronic resource] :NFMCP 2014edited by Annalisa Appice ... [et al.]. - Cham :Springer International Publishing :2015. - xii, 211 p. :ill., digital ;24 cm. - Lecture notes in computer science,89830302-9743 ;. - Lecture notes in computer science ;5353..

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2014, held in conjunction with ECML-PKDD 2014 in Nancy, France, in September 2014. The 13 revised full papers presented were carefully reviewed and selected from numerous submissions. They illustrate advanced data mining techniques which preserve the informative richness of complex data and allow for efficient and effective identification of complex information units present in such data. The papers are organized in the following sections: classification and regression; clustering; data streams and sequences; applications.

ISBN: 9783319178769 (electronic bk.)

Standard No.: 10.1007/978-3-319-17876-9doiSubjects--Topical Terms:

744342
Data mining

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

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