Web Intelligence, IEEE / WIC / ACM International Conference on (2005)
Compi?gne University of Technology, France
Sept. 19, 2005 to Sept. 22, 2005
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2005.98
Yuefeng Li , Queensland University of Technology Brisbane
Ben Murphy , Queensland University of Technology Brisbane
Ning Zhong , Maebashi Institute of Technology
The quality of discovery patterns is crucial for building satisfactory systems of Web text mining. It is no doubt that we can find numerous frequent patterns from Web documents. However, there are many meaningless frequent patterns. This paper presents a novel method to improve the quality of discovered patterns. It generalizes discovered patterns into interesting topics in order to acquire the necessary useful information. The experimental results also verify the proposed method is promising.
N. Zhong, B. Murphy and Y. Li, "Mining Interesting Topics for Web Information Gathering and Web Personalization," Proceedings. The 2005 IEEE/WIC/ACM International Conference on Web Intelligence(WI), Compiegne, France, 2005, pp. 305-308.