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DVIZ: A System for Visualizing Data Mining

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Methodologies for Knowledge Discovery and Data Mining (PAKDD 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1574))

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Abstract

We introduce an interactive system which visualizes the knowledge in data mining processes, including attribute values, evolutionary attributes, associations of attributes, classifications and hierarchical concepts. The basic framework of knowledge visualization in data mining is discussed and the algorithms for visualizing different forms of knowledge are presented. The application of our initial prototype system, DVIZ, to Canada Education Statistics is described and some preliminary results presented.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Waterloo, 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. Department of Computer Science and Systems Engineering, Yamaguchi University, Tokiwa-Dai, 2557, Ube, 755, Japan

    Ning Zhong

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Lizhu Zhou

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© 1999 Springer-Verlag Berlin Heidelberg

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Han, J., Cercone, N. (1999). DVIZ: A System for Visualizing Data Mining. In: Zhong, N., Zhou, L. (eds) Methodologies for Knowledge Discovery and Data Mining. PAKDD 1999. Lecture Notes in Computer Science(), vol 1574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48912-6_53

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  • DOI: https://doi.org/10.1007/3-540-48912-6_53

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65866-5

  • Online ISBN: 978-3-540-48912-2

  • eBook Packages: Springer Book Archive

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