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Interactive Construction of Decision Trees

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Advances in Knowledge Discovery and Data Mining (PAKDD 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2035))

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Abstract

We introduce an interactive decision tree construction system, DTViz, which consists of five components and maintains two interaction windows, and attempts to integrate the user’s preference and domain knowledge into the construction process.

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References

  1. M. Ankerst, M. Ester, and H.P. Kriegel, Towards an Effective Cooperation of the User and the Computer for Classification, KDD-2000, 179–188.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University ofWaterloo, Waterloo, Ontario, N2L 3G1, Canada

    Jianchao Han & Nick Cercone

Authors
  1. Jianchao Han
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  2. Nick Cercone
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science and Information Systems, The University of Hong Kong, Pokfulam, Hong Kong China

    David Cheung

  2. CSIRO Mathematical and Information Sciences, GPO Box 664, Canberra, ACT 2601, Australia

    Graham J. Williams

  3. Department of Computer Science, City University of Hong Kong, 83 Tat Chee Ave., Kowloon, Hong Kong China

    Qing Li

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© 2001 Springer-Verlag Berlin Heidelberg

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Han, J., Cercone, N. (2001). Interactive Construction of Decision Trees. In: Cheung, D., Williams, G.J., Li, Q. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2001. Lecture Notes in Computer Science(), vol 2035. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45357-1_61

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  • DOI: https://doi.org/10.1007/3-540-45357-1_61

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41910-5

  • Online ISBN: 978-3-540-45357-4

  • eBook Packages: Springer Book Archive

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