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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine Learning and Knowledge Discovery in Databases/ edited by Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavalda, Dino Pedreschi, Francesco Bonchi, Jaime Cardoso, Myra Spiliopoulou.
Reminder of title:	European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III /
other author:	Bifet, Albert.
Description:	XXX, 345 p. 122 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Data mining. -
Online resource:	https://doi.org/10.1007/978-3-319-23461-8
ISBN:	9783319234618

Machine Learning and Knowledge Discovery in Databases = European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III /
Machine Learning and Knowledge Discovery in DatabasesEuropean Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III /[electronic resource] :edited by Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavalda, Dino Pedreschi, Francesco Bonchi, Jaime Cardoso, Myra Spiliopoulou. - 1st ed. 2015. - XXX, 345 p. 122 illus.online resource. - Lecture Notes in Artificial Intelligence ;9286. - 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: 9783319234618

Standard No.: 10.1007/978-3-319-23461-8doiSubjects--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 III /
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