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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© 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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