Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis

Author:

Ohsaki Miho,Kitaguchi Shinya,Okamoto Kazuya,Yokoi Hideto,Yamaguchi Takahira

Publisher

Springer Berlin Heidelberg

Reference19 articles.

1. Lecture Notes in Artificial Intelligence;Y.Y. Yao,1999

2. Hilderman, R.J., Hamilton, H.J.: Knowledge Discovery and Measure of Interest. Kluwer Academic Publishers, Dordrecht (2001)

3. Tan, P.N., Kumar, V., Srivastava, J.: Selecting the Right Interestingness Measure for Association Patterns. In: Proceedings of International Conference on Knowledge Discovery and Data Mining KDD 2002, pp. 32–41 (2002)

4. Ohsaki, M., Sato, Y., Yokoi, H., Yamaguchi, T.: A Rule Discovery Support System for Sequential Medical Data, – In the Case Study of a Chronic Hepatitis Dataset. In: Proceedings of International Workshop on Active Mining AM 2002 in IEEE International Conference on Data Mining ICDM 2002, pp. 97–102 (2002)

5. Lecture Notes in Computer Science;M. Ohsaki,2004

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