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|a 9783662448458 |9 978-3-662-44845-8
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|a 10.1007/978-3-662-44845-8 |2 doi
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|a (DE-He213)978-3-662-44845-8
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|a 12267901
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|a QA76.9.D343
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|a COM021030 |2 bisacsh
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|a 006.312 |2 23
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|a Calders, Toon.
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|a Machine Learning and Knowledge Discovery in Databases |h [electronic resource] : |b European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III / |c edited by Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo.
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|a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2014.
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|a XXXVI, 533 p. 155 illus : |b online resource.
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|a text |b txt |2 rdacontent
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|a computer |b c |2 rdamedia
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|a online resource |b cr |2 rdacarrier
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|a text file |b PDF |2 rda
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|a Lecture Notes in Computer Science, |x 0302-9743 ; |v 8726
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|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.
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|a Access restricted by licensing agreement.
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|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.
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|a Access is available to the Yale community.
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|a Computer science.
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|a Data mining.
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|a Information storage and retrieval systems.
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|a Artificial intelligence.
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|a Optical pattern recognition.
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|a Esposito, Floriana.
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|a Hüllermeier, Eyke.
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|a Meo, Rosa.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition: |z 9783662448441
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|a Lecture notes in computer science ; |v 8726.
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|z Online Resource
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|y Online book |y Online book |u https://yale.idm.oclc.org/login?URL=http://dx.doi.org/10.1007/978-3-662-44845-8
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|a QA76.9.D343
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|a Yale Internet Resource |b Yale Internet Resource >> None|DELIM|12437128
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|a online resource
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|a 2014-10-06T10:28:31.000Z
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|a DO NOT EDIT. DO NOT EXPORT.
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|a http://dx.doi.org/10.1007/978-3-662-44845-8