An improved FP-growth algorithm & its application in tongue diagnosis of traditional Chinese medicine

Authors:
Chen Qun;Liu Mei;Hu Zhibing;Wei Yuke;Li Jiangping
Affiliations:
Guangzhou University of Traditional Chinese Medicine;Guangzhou University of Traditional Chinese Medicine;Guangdong University of Technology;Guangdong University of Technology;Guangdong University of Technology
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
Year:
2009

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Abstract

At the beginning, the paper analyzed the characteristics of clinical diseases database in the Traditional Chinese Medicine (TCM) tongue diagnosis. Secondly, the paper presented improved FP-growth mining algorithm, which was usable to extract the diagnosis rules. The algorithm was realized by using VC++ 7.0 and SQL Server 2000 as the development tools, and applied it to the case database successfully. The application result make clear that the algorithm can be accurate more and fitter.