An Improved FP-Growth Algorithm and its Application in Tongue Diagnosis of Traditional Chinese Medicine
Qun Chen, Liu Mei, Zhibing Hu, Wei Yu-ke, Jiangping Li · 2009
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.