Machine Learning and Knowledge Discovery in Databases (eBook, PDF)

European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I
Redaktion: Calders, Toon; Meo, Rosa; Hüllermeier, Eyke; Esposito, Floriana

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 709
• Erscheinungstermin: 1. September 2014
• Englisch
• ISBN-13: 9783662448489
• Artikelnr.: 44131452

Inhaltsangabe

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.