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Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III

Title
Machine Learning and Knowledge Discovery in Databases [electronic resource] : European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III / edited by Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo.
ISBN
9783662448458
Publication
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Physical Description
XXXVI, 533 p. 155 illus : online resource.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Other formats
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
October 06, 2014
Series
Lecture notes in computer science ; 8726.
Lecture Notes in Computer Science, 8726
Contents
Dynamic networks and knowledge discovery
Interactions between data mining and natural language processing
Mining ubiquitous and social environments
Statistically sound data mining
Machine learning for urban sensor data
Multi-target prediction
Representation learning
Neural connectomics: from imaging to connectivity
Data analytics for renewable energy integration
Linked data for knowledge discovery
New frontiers in mining complex patterns
Experimental economics and machine learning
Learning with multiple views: applications to computer vision and multimedia mining
Generalization and reuse of machine learning models over multiple contexts
Predictive web analytics.
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