Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings. edited by Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavalda, Dino Pedreschi, Francesco Bonchi, Jaime Cardoso, Myra Spiliopoulou. Part III /
"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 revie...
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| Corporate Author: | |
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| Other Authors: | , , , , , , , |
| Format: | Ebook |
| Language: | English |
| Published: |
Cham :
Springer,
2015.
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| Series: | Lecture notes in computer science. Lecture notes in artificial intelligence
9286. LNCS sublibrary. Artificial intelligence |
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | "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."--Publisher's website. |
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| Item Description: | Includes author index. International conference proceedings. |
| Physical Description: | 1 online resource (xxx, 345 pages) : illustrations. |
| ISSN: | 0302-9743 ; |