A Rough-Apriori Technique in Mining Linguistic Association Rules-Reference-Cited by-同舟云学术

A Rough-Apriori Technique in Mining Linguistic Association Rules

Published: Issue: Volume: Page:548-555
ISSN:0302-9743
Container-title:Advanced Data Mining and Applications
language:
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Author:

Choo Yun-Huoy,Bakar Azuraliza Abu,Hamdan Abdul Razak

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-88192-6_55.pdf

Reference20 articles.

1. Srikant, R., Agrawal, R.: Mining Quantitative Association Rules in Large Relational Tables. In: Proc. The 1996 ACM SIGMOD International Conference on Management of Data, pp. 1–12. ACM Press, Montreal (1996)

2. Ishibuchi, H., Yamamoto, T., Nakashima, T.: Linguistic Modeling for Function Approximation Using Grid Partitions. In: Proc. The 10th IEEE International Conference on Fuzzy Systems, vol. 1, pp. 47–50. IEEE, Melbourne (2001)

3. Shu Yue, J., Tsang, E., Yeung, D., Shi, D.: Mining Fuzzy Association Rules with Weighted Items. In: Proc. IEEE International Conference on Systems, Man, and Cybernetics, Nashville, TN, vol. 3, pp. 1906–1911 (2000)

4. Pawlak, Z.: Rough Sets and Data Analysis. In: Proc. the 1996 Asian Fuzzy Systems Symposium, Soft Computing in Intelligent Systems and Information Processing, pp. 1–6. IEEE, Kenting (1996)

5. Ishibuchi, H., Nakashima, T., Yamamoto, T.: Fuzzy Association Rules for Handling Continuous Attributes. In: Proc. ISIE 2001 International Symposium on Industrial Electronics, vol. 1, pp. 118–121. IEEE, Pusan (2001)

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