Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9286)
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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Table of contents (43 papers)
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Nectar Track
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Demo Track
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
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
About this book
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 III
Editors: Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavalda, Dino Pedreschi, Francesco Bonchi, Jaime Cardoso, … Myra Spiliopoulou
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-23461-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-23460-1Published: 11 September 2015
eBook ISBN: 978-3-319-23461-8Published: 28 August 2015
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXX, 345
Number of Illustrations: 122 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Pattern Recognition, Information Storage and Retrieval, Database Management, Information Systems Applications (incl. Internet)