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04027nam a22005895i 4500 |
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|a 9783662448519
|9 978-3-662-44851-9
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|a 10.1007/978-3-662-44851-9
|2 doi
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|a QA76.9.D343
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|a UNF
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|a 006.312
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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 II /
|c edited by Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo.
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|a 1st ed. 2014.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2014.
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|a XXXIV, 715 p. 200 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
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|a text file
|b PDF
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|a Lecture Notes in Artificial Intelligence ;
|v 8725
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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 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 Data mining.
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|a Artificial intelligence.
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|a Pattern recognition.
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|a Information storage and retrieval.
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|a Data Mining and Knowledge Discovery.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18030
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|a Artificial Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000
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|a Pattern Recognition.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
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|a Information Storage and Retrieval.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18032
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|a Calders, Toon.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Esposito, Floriana.
|e editor.
|0 (orcid)0000-0002-1075-3239
|1 https://orcid.org/0000-0002-1075-3239
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Hüllermeier, Eyke.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Meo, Rosa.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783662448526
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|i Printed edition:
|z 9783662448502
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|a Lecture Notes in Artificial Intelligence ;
|v 8725
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856 |
4 |
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|u https://doi.org/10.1007/978-3-662-44851-9
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|a ZDB-2-SCS
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|a ZDB-2-SXCS
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|a ZDB-2-LNC
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|a Computer Science (SpringerNature-11645)
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950 |
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|a Computer Science (R0) (SpringerNature-43710)
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