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Discovery Science : 11th international conference, DS 2008, Budapest, Hungary, October 13 - 16, 2008 : proceedings

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Datum

2008

Autor:innen

Herausgeber:innen

Boulicaut, Jean-Francois
Horváth, Tamás
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ISBN

978-3-540-88410-1
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Verlag

Berlin: Springer

Schriftenreihe

Lecture notes in artificial intelligence; 5255

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Open Access-Veröffentlichung
Core Facility der Universität Konstanz

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Zusammenfassung

This book constitutes the refereed proceedings of the 11th International Conference on Discovery Science, DS 2008, held in Budapest, Hungary, in October 2008, co-located with the 19th International Conference on Algorithmic Learning Theory, ALT 2008.

The 26 revised long papers presented together with 5 invited papers were carefully reviewed and selected from 58 submissions. The papers address all current issues in the area of development and analysis of methods for intelligent data analysis, knowledge discovery and machine learning, as well as their application to scientific knowledge discovery. The papers are organized in topical sections on learning, feature selection, associations, discovery processes, learning and chemistry, clustering, structured data, and text analysis.

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Fachgebiet (DDC)
004 Informatik

Schlagwörter

HCI, Web-data mining, classifier systems, clustering, computational learning

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ISO 690BOULICAUT, Jean-Francois, ed., Michael R. BERTHOLD, ed., Tamás HORVÁTH, ed., 2008. Discovery Science : 11th international conference, DS 2008, Budapest, Hungary, October 13 - 16, 2008 : proceedings. Berlin: Springer. ISBN 978-3-540-88410-1
BibTex
@proceedings{Boulicaut2008Disco-16711,
  year={2008},
  doi={10.1007/978-3-540-88411-8},
  publisher={Springer},
  address={Berlin},
  series={Lecture notes in artificial intelligence},
  title={Discovery Science : 11th international conference, DS 2008, Budapest, Hungary, October 13 - 16, 2008 : proceedings},
  number={5255},
  editor={Boulicaut, Jean-Francois and Berthold, Michael R. and Horváth, Tamás}
}
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