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Machine Learning and Knowledge Discovery in Databases = European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine Learning and Knowledge Discovery in Databases/ edited by Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, João Gama, Alípio Jorge, Carlos Soares.
其他題名:	European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II /
其他作者:	Appice, Annalisa.
面頁冊數:	XLII, 773 p. 198 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Data mining. -
電子資源:	https://doi.org/10.1007/978-3-319-23525-7
ISBN:	9783319235257

Machine Learning and Knowledge Discovery in Databases = European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II /
Machine Learning and Knowledge Discovery in DatabasesEuropean Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II /[electronic resource] :edited by Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, João Gama, Alípio Jorge, Carlos Soares. - 1st ed. 2015. - XLII, 773 p. 198 illus.online resource. - Lecture Notes in Artificial Intelligence ;9285. - Lecture Notes in Artificial Intelligence ;9285.

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, 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: 9783319235257

Standard No.: 10.1007/978-3-319-23525-7doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Machine Learning and Knowledge Discovery in Databases = European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II /
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