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Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný.

Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Format/Description:
Book
1 online resource (XLVI, 691 pages) : 190 illustrations
Edition:
1st ed. 2013.
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 8190
Lecture Notes in Artificial Intelligence ; 8190
Contained In:
Springer eBooks
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Subjects:
Data mining.
Artificial intelligence.
Pattern perception.
Computer science-Mathematics.
Mathematical statistics.
Information storage and retrieval.
Local subjects:
Data Mining and Knowledge Discovery. (search)
Artificial Intelligence. (search)
Pattern Recognition. (search)
Discrete Mathematics in Computer Science. (search)
Probability and Statistics in Computer Science. (search)
Information Storage and Retrieval. (search)
System Details:
text file PDF
Summary:
This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.
Contents:
Reinforcement learning
Markov decision processes
Active learning and optimization
Learning from sequences
Time series and spatio-temporal data
Data streams
Graphs and networks
Social network analysis
Natural language processing and information extraction
Ranking and recommender systems
Matrix and tensor analysis
Structured output prediction, multi-label and multi-task learning
Transfer learning
Bayesian learning
Graphical models
Nearest-neighbor methods
Ensembles
Statistical learning
Semi-supervised learning
Unsupervised learning
Subgroup discovery, outlier detection and anomaly detection
Privacy and security
Evaluation
Applications
Medical applications.
Contributor:
Blockeel, Hendrik, editor., Editor,
Kersting, Kristian, editor., Editor,
Nijssen, Siegfried. editor., Editor,
Železný, Filip, editor., Editor,
SpringerLink (Online service)
Other format:
Printed edition:
Printed edition:
ISBN:
978-3-642-40994-3
9783642409943
Publisher Number:
10.1007/978-3-642-40994-3 doi
Access Restriction:
Restricted for use by site license.