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Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I / edited by Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Calders, Toon, Editor.
Esposito, Floriana., Editor.
Hüllermeier, Eyke, Editor.
Meo, Rosa, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 8724
Lecture Notes in Artificial Intelligence, 2945-9141 ; 8724
Language:
English
Subjects (All):
Data mining.
Artificial intelligence.
Pattern recognition systems.
Information storage and retrieval systems.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Automated Pattern Recognition.
Information Storage and Retrieval.
Local Subjects:
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Automated Pattern Recognition.
Information Storage and Retrieval.
Physical Description:
1 online resource (XLIV, 709 pages) : 183 illustrations
Edition:
1st ed. 2014.
Contained In:
Springer Nature eBook
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
System Details:
text file PDF
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.
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.
Other Format:
Printed edition:
ISBN:
978-3-662-44848-9
9783662448489
Access Restriction:
Restricted for use by site license.

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