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03403nam a22005655i 4500 |
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978-3-662-44848-9 |
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DE-He213 |
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20151030051510.0 |
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cr nn 008mamaa |
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140901s2014 gw | s |||| 0|eng d |
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|a 9783662448489
|9 978-3-662-44848-9
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|a 10.1007/978-3-662-44848-9
|2 doi
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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 I /
|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 XLIV, 709 p. 183 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
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|a text file
|b PDF
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 8724
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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 Computer science.
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| 650 |
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|a Data mining.
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| 650 |
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|a Information storage and retrieval.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Pattern recognition.
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1 |
4 |
|a Computer Science.
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| 650 |
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|a Data Mining and Knowledge Discovery.
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| 650 |
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|a Artificial Intelligence (incl. Robotics).
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| 650 |
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|a Pattern Recognition.
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| 650 |
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4 |
|a Information Storage and Retrieval.
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| 700 |
1 |
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|a Calders, Toon.
|e editor.
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| 700 |
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|a Esposito, Floriana.
|e editor.
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| 700 |
1 |
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|a Hüllermeier, Eyke.
|e editor.
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| 700 |
1 |
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|a Meo, Rosa.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783662448472
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| 830 |
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 8724
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-662-44848-9
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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| 912 |
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (Springer-11645)
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