Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9284)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ECML PKDD 2015.
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About this book
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.
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Keywords
- data mining
- foundations of machine learning and data mining
- knowledge discovery in databases
- probabilistic models and statistical methods
- social and graphs mining
- classification, regression and supervised learning
- clustering and unsupervised learning
- domain adaptation
- ensemble learning
- large scale learning and big data
- learning paradigms
- machine learning and data mining applications
- machine learning methodologies
- meta-learning
- nonmonotonic constraints
- pattern and sequence mining
- privacy-preserving data mining
- probabilistic programming
- recommender systems
- rich data mining
Table of contents (46 papers)
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Front Matter
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Research Track - Classification, Regression and Supervised Learning
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Front Matter
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Clustering and Unsupervised Learning
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Front Matter
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Other volumes
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Machine Learning and Knowledge Discovery in Databases
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Machine Learning and Knowledge Discovery in Databases
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Machine Learning and Knowledge Discovery in Databases
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning and Knowledge Discovery in Databases
Book Subtitle: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I
Editors: Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, Carlos Soares, João Gama, Alípio Jorge
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-23528-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-23527-1Published: 12 September 2015
eBook ISBN: 978-3-319-23528-8Published: 28 August 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: LVIII, 709
Number of Illustrations: 160 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Pattern Recognition, Information Storage and Retrieval, Database Management, Information Systems Applications (incl. Internet)