Abstract
We introduce an interactive visualization system, AViz, which discovers 3D numerical association rules from large data sets. The process of discovering association rules is visualized, which consists of six steps: preparing the raw data set, visualizing the original data set, cleaning the data, discretizing numerical attributes, and mining and visualizing the discovered association rules. The architecture of the AViz system is presented and each step is discussed. To discretize numerical attributes, three approaches, including equal-sized, bin-packing based equal-depth, and interaction-based approaches, are implemented and compared. The algorithm for mining and visualizing numerical association rules is proposed. Our experimental result on a census data set shows that the AViz system is useful and helpful for discovering and visualizing numerical association rules.
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Han, J., Cercone, N., Hu, X. (2002). An Interactive Visualization System for Mining Association Rules. In: Lin, T.Y., Yao, Y.Y., Zadeh, L.A. (eds) Data Mining, Rough Sets and Granular Computing. Studies in Fuzziness and Soft Computing, vol 95. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1791-1_7
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DOI: https://doi.org/10.1007/978-3-7908-1791-1_7
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