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Symbolic Data Analysis With the K-Means Algorithm for User Profiling

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User Modeling

Part of the book series: International Centre for Mechanical Sciences ((CISM,volume 383))

Abstract

We propose to simplify human-machine interaction by automating device settings that are normally made manually. We present here a classification scheme of user behaviours based on an adaptation of the K-means algorithm to symbolic data representing user behaviours. This classification enables a system to derive prototypical behaviours and to control device settings automatically.

We thank E. Diday and his colleagues from the LISE-CEREMADE group (University Paris-Dauphine) for fruitful discussions on data analysis.

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References

  • Diday, E. (1993). An introduction to symbolic data analysis. In Proceedings of the 4th International Conference of the Federation of Classification Societies. Paris. Springer Verlag.

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  • Doux, A. C., Laurent, J. P., Nadal, J. P., and Diday, E. (1996). User profiling: Dynamic clustering on symbolic objects. Manuscript submitted for publication.

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  • Polaillon, G., Getter-Summa, M., Pardoux, C., and Laurent, J. P. (1996). Approche numérique symbolique pour le codage et la classification des comportements d’ utilisateurs. In Proceedings of the 28th Days of Statistics, 608–611.

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Author information

Authors and Affiliations

  1. Laboratoires d’Electronique Philips S.A.S., France

    Anne-Claude Doux & Jean-Philippe Laurent

  2. Laboratoire de Physique Statistique, Ecole Normale Superieure, Paris, France

    Jean-Pierre Nadal

Authors
  1. Anne-Claude Doux
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  2. Jean-Philippe Laurent
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  3. Jean-Pierre Nadal
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Editor information

Editors and Affiliations

  1. University of Saarbrücken, Germany

    A. Jameson

  2. Csiro Australia, Australia

    C. Paris

  3. University of Udine, Italy

    C. Tasso

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© 1997 Springer-Verlag Wien

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Cite this paper

Doux, AC., Laurent, JP., Nadal, JP. (1997). Symbolic Data Analysis With the K-Means Algorithm for User Profiling. In: Jameson, A., Paris, C., Tasso, C. (eds) User Modeling. International Centre for Mechanical Sciences, vol 383. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2670-7_36

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  • DOI: https://doi.org/10.1007/978-3-7091-2670-7_36

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82906-6

  • Online ISBN: 978-3-7091-2670-7

  • eBook Packages: Springer Book Archive

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