Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8725)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Conference proceedings info: ECML PKDD 2014.
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Table of contents (44 papers)
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Front Matter
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Main Track Contributions
Other Volumes
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Machine Learning and Knowledge Discovery in Databases
About this book
Keywords
- artificial intelligence
- association rules
- clustering
- collaborative filtering
- content ranking
- data analytics
- data mining
- data stream mining
- knowledge discovery
- knowledge extraction
- knowledge representation and reasoning
- learning paradigms
- machine learning algorithms
- multitask learning
- nearest-neighbor search
- reinforcement learning
- social recommendation
- supervised learning
- unsupervised learning
- web mining
Editors and Affiliations
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Faculty of Applied Sciences,Department of Computer and Decision Engineering, Université Libre de Bruxelles, Brussels, Belgium
Toon Calders
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Dipartimento di Informatica, Università degli Studi “Aldo Moro”, Bari, Italy
Floriana Esposito
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Department of Computer Science, Universität Paderborn, Paderborn, Germany
Eyke Hüllermeier
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Dipartimento di Informatica, Università degli Studi di Torino, Torino, Italy
Rosa Meo
Bibliographic Information
Book Title: Machine Learning and Knowledge Discovery in Databases
Book Subtitle: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II
Editors: Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-44851-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Softcover ISBN: 978-3-662-44850-2Published: 22 September 2014
eBook ISBN: 978-3-662-44851-9Published: 01 September 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXIV, 715
Number of Illustrations: 200 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Pattern Recognition, Information Storage and Retrieval