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Data-Mining-Cup 2007

  • STUDENT’S CORNER
  • DATA-MINING-CUP 2007
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Informatik-Spektrum Aims and scope

Zusammenfassung

Die Aufgabe des Data-Mining-Cups 2007 war die Entwicklung einer vollautomatischen Methode zur effektiven Steuerung des Einsatzes von Rabattcoupons. Vorverarbeitung und Parameter wurden durch eine Kreuzvalidierung optimiert.

Experimente zeigen, dass ein einzelner Klassifikator in der Regel nicht genügt, die Aufgabenstellung mit ausreichender Güte zu lösen. Vielmehr müssen mehrere, möglichst verschiedene, Klassifikatoren dazu herangezogen werden.

Die eingereichten Lösungen entstanden durch Kombination von bis zu 2.000 Klassifikatoren und haben im Wettbewerb sehr gut abgeschnitten: Sechs von neun Abgaben lagen unter den ersten zehn Plätzen, die übrigen drei Lösungen sind immer noch unter den ersten 20 von insgesamt 230 Plätzen.

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Authors and Affiliations

  1. Lehrstuhl für Informatik 6, RWTH Aachen, Ahornstr. 55, 52056, Aachen, Deutschland

    Christian Buck, Tobias Gass, Andreas Hannig, Jan Hosang, Stephan Jonas, Jan-Thorsten Peter, Pascal Steingrube & Jan Henrik Ziegeldorf

Authors
  1. Christian Buck
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  2. Tobias Gass
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  3. Andreas Hannig
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  4. Jan Hosang
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  5. Stephan Jonas
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  6. Jan-Thorsten Peter
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  7. Pascal Steingrube
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  8. Jan Henrik Ziegeldorf
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Corresponding author

Correspondence to Christian Buck.

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Buck, C., Gass, T., Hannig, A. et al. Data-Mining-Cup 2007. Informatik Spektrum 31, 591–599 (2008). https://doi.org/10.1007/s00287-008-0239-z

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  • DOI: https://doi.org/10.1007/s00287-008-0239-z

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