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 H�ullermeier, Rosa Meo.
- XLIV, 709 p. 183 illus. online resource.
- Lecture Notes in Computer Science, 8724 0302-9743 ; .
- Lecture Notes in Computer Science, 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
Computer science. Data mining. Information storage and retrieval. Artificial intelligence. Pattern recognition. Computer Science. Data Mining and Knowledge Discovery. Artificial Intelligence (incl. Robotics). Pattern Recognition. Information Storage and Retrieval.