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Machine Learning And Knowledge Discovery In Databases European Conference Ecml Pkdd 2015 Porto Portugal September 711 2015 Proceedings Part Iii 1st Edition Albert Bifet

  • SKU: BELL-5236290
Machine Learning And Knowledge Discovery In Databases European Conference Ecml Pkdd 2015 Porto Portugal September 711 2015 Proceedings Part Iii 1st Edition Albert Bifet
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Machine Learning And Knowledge Discovery In Databases European Conference Ecml Pkdd 2015 Porto Portugal September 711 2015 Proceedings Part Iii 1st Edition Albert Bifet instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 27.61 MB
Pages: 365
Author: Albert Bifet, Michael May, Bianca Zadrozny et al. (eds.)
ISBN: 9783319234601, 3319234609
Language: English
Year: 2015
Edition: 1

Product desciption

Machine Learning And Knowledge Discovery In Databases European Conference Ecml Pkdd 2015 Porto Portugal September 711 2015 Proceedings Part Iii 1st Edition Albert Bifet by Albert Bifet, Michael May, Bianca Zadrozny Et Al. (eds.) 9783319234601, 3319234609 instant download after payment.

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.

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