Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I / [electronic resource] :
edited by Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo.
- 1st ed. 2014.
- XLIV, 709 p. 183 illus. online resource.
- Lecture Notes in Artificial Intelligence, 8724 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 8724 .
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.
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.
9783662448489
10.1007/978-3-662-44848-9 doi
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.
QA76.9.D343
006.312
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.
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.
9783662448489
10.1007/978-3-662-44848-9 doi
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.
QA76.9.D343
006.312