Discovery of Contrast Itemset with Statistical Background Between Two Continuous Variables

Author:

Shimada KaoruORCID,Matsuno ShogoORCID,Saito ShotaORCID

Publisher

Springer Nature Switzerland

Reference6 articles.

1. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proceedings of 20th International Conference VLDB, pp. 487–499 (1994)

2. Shimada, K., Hirasawa, K., Hu, J.: Class association rule mining with chi-squared test using genetic network programming. In: Proceedings of the IEEE Conference on Systems, Man, and Cybernetics, pp. 5338–5344 (2006)

3. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);K Shimada,2013

4. Shimada, K., Arahira, T., Matsuno, S.: ItemSB: Itemsets with statistically distinctive backgrounds discovered by evolutionary method. Int. J. Semant. Comput. 16(3), 357–378 (2022)

5. Bertin-Mahieux, T., Ellis, D.P.W., Whitman, B., Lamere, P.: The million song dataset. In: Proceedings of 12th International Society for Music Information Retrieval Conference, pp. 591–596 (2011)

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