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Wong PC, Whitney P, Thomas J. Visualizing association rules for text mining. In: Proceedings of the IEEE Symposium on Information Visualization; 1999. p. 120–3.
Hofmann H, Siebes A, Wilhelm A. Visualizing association rules with interactive mosaic plots. In: Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; 2000. p. 227–35.
Fukuda T, Morimoto Y, Morishita S, Tokuyama T. Data mining using two-dimensional optimized association rules: Scheme, algorithms, and visualization. In: Proceedings of the ACM SIGMOD International Conference on Management of Data; 1996. p. 13–23.
Klemettinen M, Mannila H, Ronkainen P, Toivonen H, Verkamo I. Finding interesting rules from large sets of discovered association rules. In: Proceedings of the International Conference on Information and Knowledge Management; 1994. p. 401–7.
Leung CK-S, Irani P, Carmichael CL. FIsViz: a frequent itemset visualizer. In: Advances in Knowledge Discovery and Data Mining, 12th Pacific-Asia Conference; 2008. p. 644–52.
Leung CK-S, Irani P, Carmichael CL. WiFIsViz: effective visualization of frequent itemsets. In: Proceedings of the 8th IEEE International Conference on Data Mining; 2008. p. 875–80.
Agrawal R, Srikant R. Fast algorithms for mining association rules. In: Proceedings of the 20th International Conference on Very Large Data Bases; 1994. p. 207–16.
Han J, Kamber M. Data mining: concepts and techniques. 2nd ed. San Francisco: Morgan Kaufmann; 2005.
Liu B, Hsu W, Wang K, Chen S. Visually aided exploration of interesting association rules. In: Advances in Knowledge Discovery and Data Mining, 3rd Pacific-Asia Conference; 1999. p. 380–9.
Kovalerchuk B, Delizy F. Visual data mining using monotone Boolean functions. In: Kovalerchuk B, Schwing J, editors. Visual and spatial analysis: advances in data mining, reasoning, and problem solving. Berlin: Springer; 2004. p. 387–406.
Yang L. Pruning and visualizing generalized association rules in parallel coordinates. IEEE Trans Knowl and Data Eng. 2005;17(1):60–70.
Srikant R, Agrawal R. Mining generalized association rules. In: Proceedings of the 21th International Conference on Very Large Data Bases; 1995. p. 407–19.
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Yang, L. (2018). Visual Association Rules. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_1125
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