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Machine Learning and Knowledge Discovery in Databases [electronic resource] : European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I / edited by Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo.

Contributor(s): Material type: TextTextLanguage: English Series: Lecture Notes in Computer Science ; 8724Publication details: Berlin, Heidelberg : Springer Berlin Heidelberg, 2014.Description: 1 online resource (XLIV, 709 p. 183 ill.)ISBN:
  • 9783662448489
Subject(s): Online resources:
Contents:
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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Holdings
Item type Current library Call number Materials specified Status Date due Barcode Item holds
Books Books National Library of India Available EBK000025884ENG
Total holds: 0

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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