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Pacific-Asia Conference on Knowledge Discovery and Data Mining

PAKDD 2000: Knowledge Discovery and Data Mining. Current Issues and New Applications pp 269–280Cite as

AViz: A Visualization System for Discovering Numeric Association Rules

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1805))

Abstract

We introduce an interactive visualization system, AViz, for discovering numerical association rules from large data sets. The process of interactive visual discovery consists of six steps: preparing the raw data, visualizing the original data, cleaning the data, discretizing numerical attributes, and discovering and visualizing association rules. The basic framework of the AViz system is presented and three approaches to discretize numerical attributes, including equal-sized, bin-packing based equal-depth, and interaction-based approaches, are proposed and implemented. The algorithm for discovering and visualizing numerical association rules is discussed and analyzed. The AViz system has been experimented on a census data set. The experimental results demonstrate that the AViz system is useful and helpful for discovering and visualizing numerical association rules.

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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. Graduate School of Systems Management, Universiy of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo, 112-0012, Japan

    Takao Terano

  2. Department of Computer Science and Engineering, Arizona State University, P.O. Box 875 406, Tempe, AZ, 85287-5406

    Huan Liu

  3. Department of Computer Science, National Tsing Hua University, Hsinchu, 300, Taiwan ROC

    Arbee L. P. Chen

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© 2000 Springer-Verlag Berlin Heidelberg

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Han, J., Cercone, N. (2000). AViz: A Visualization System for Discovering Numeric Association Rules. In: Terano, T., Liu, H., Chen, A.L.P. (eds) Knowledge Discovery and Data Mining. Current Issues and New Applications. PAKDD 2000. Lecture Notes in Computer Science(), vol 1805. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45571-X_33

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  • DOI: https://doi.org/10.1007/3-540-45571-X_33

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67382-8

  • Online ISBN: 978-3-540-45571-4

  • eBook Packages: Springer Book Archive

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