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Machine learning and knowledge disco...

Appice, Annalisa.

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Machine learning and knowledge discovery in databases = European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015 : proceedings.. Part I /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning and knowledge discovery in databases/ edited by Annalisa Appice ... [et al.].
其他題名:	European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015 : proceedings.
其他題名:	ECML PKDD 2015
其他作者:	Appice, Annalisa.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	lviii, 709 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Machine learning -
電子資源:	http://dx.doi.org/10.1007/978-3-319-23528-8
ISBN:	9783319235288

Machine learning and knowledge discovery in databases = European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015 : proceedings.. Part I /
Machine learning and knowledge discovery in databasesEuropean Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015 : proceedings.Part I /[electronic resource] :ECML PKDD 2015edited by Annalisa Appice ... [et al.]. - Cham :Springer International Publishing :2015. - lviii, 709 p. :ill., digital ;24 cm. - Lecture notes in computer science,92840302-9743 ;. - Lecture notes in computer science ;5353..

The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, and 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track.

ISBN: 9783319235288

Standard No.: 10.1007/978-3-319-23528-8doiSubjects--Topical Terms:

744343
Machine learning

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning and knowledge discovery in databases = European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015 : proceedings.. Part I /
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