Machine Learning and Knowledge Discovery in Databases (häftad)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
709
Utgivningsdatum
2014-09-12
Upplaga
2014 ed.
Förlag
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Medarbetare
Calders, Toon (ed.), Esposito, Floriana (ed.), Hüllermeier, Eyke (ed.), Meo, Rosa (ed.)
Illustratör/Fotograf
Bibliographie 183 schwarz-weiße Abbildungen
Illustrationer
183 Illustrations, black and white; XLIV, 709 p. 183 illus.
Dimensioner
234 x 156 x 38 mm
Vikt
1040 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783662448472

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I

av Toon Calders, Floriana Esposito, Eyke Hllermeier, Rosa Meo
Häftad,  Engelska, 2014-09-12
760
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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.
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Fler böcker av författarna

Toon Calders, Floriana Esposito, Eyke Hllermeier, Rosa Meo

Innehållsförteckning

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.

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