A Combined Method for Extracting Rules with Improved Quality

Authors:
Fuyan Liu
Affiliations:
Hangzhou Dianzi University, Hangzhou, P.R.China, 310008, dzh05@126.com
Venue:
Proceedings of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding
Year:
2006

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Abstract

This paper presents an effective approach, which combines association rules and clustering algorithm for extracting rules on the web. The advantage of the method is that it can provide more precise and detailed rules compared with traditional algorithms. The paper analyzed some issues in previous approaches first. Then the proposed method is presented. Experiments are performed to evaluate the performance of the combined approach. Experimental results show that the proposed method is more effective and efficient.