Mining fuzzy frequent itemsets for hierarchical document clustering

Author:

Chen Chun-Ling,Tseng Frank S.C.,Liang Tyne

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference29 articles.

1. Beil, F., Ester, M., & Xu, X. (2002). Frequent term-based text clustering. In Proceedings of the 8th ACM SIGKDD int’l conf. on knowledge discovery and data mining (pp. 436–442).

2. Bellot, P., & El-Beze, M. (1999). A clustering method for information retrieval. Technical report IR-0199.

3. Chen, C. L., Tseng, Frank S. C., & Liang, T. (2008). Hierarchical document clustering using fuzzy association rule mining. In Proceedings of the 3rd international conference of innovative computing information and control (ICICIC2008) (pp. 326–330).

4. Delgado, M., MartÃn-Bautista, M. J., SÃanchez, D., & Vila, M. A. (2002). Mining text data: Special features and patterns. In Proceedings of EPS exploratory workshop on pattern detection and discovery in data mining (pp. 140–153).

5. Feldman, R., & Dagan, I. (1995). Knowledge discovery in textual databases (KDT). In Proceedings of the 1st ACM SIGKDD int’l conf. on knowledge discovery and data mining (pp. 112–117).

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