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

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 pap...

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Corporate Author: SpringerLink (Online service)
Other Authors: Calders, Toon. (Editor, http://id.loc.gov/vocabulary/relators/edt), Esposito, Floriana. (Editor, http://id.loc.gov/vocabulary/relators/edt), Hüllermeier, Eyke. (Editor, http://id.loc.gov/vocabulary/relators/edt), Meo, Rosa. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Lecture Notes in Artificial Intelligence ; 8725
Subjects:
Online Access:https://doi.org/10.1007/978-3-662-44851-9
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505 0 |a 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. 
520 |a 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. 
650 0 |a Data mining. 
650 0 |a Artificial intelligence. 
650 0 |a Pattern recognition. 
650 0 |a Information storage and retrieval. 
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650 2 4 |a Artificial Intelligence.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000 
650 2 4 |a Pattern Recognition.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 
650 2 4 |a Information Storage and Retrieval.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/I18032 
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700 1 |a Meo, Rosa.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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