Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8726)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: ECML PKDD 2014.
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About this book
This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.
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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
Table of contents (50 papers)
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Main Track Contributions
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Demo Track Contributions
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 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III
Editors: Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-662-44845-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Softcover ISBN: 978-3-662-44844-1Published: 23 September 2014
eBook ISBN: 978-3-662-44845-8Published: 01 September 2014
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXXVI, 533
Number of Illustrations: 155 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Pattern Recognition, Information Storage and Retrieval