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- W2124701288 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." @default.
- W2124701288 created "2016-06-24" @default.
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- W2124701288 date "2009-01-01" @default.
- W2124701288 modified "2023-09-27" @default.
- W2124701288 title "An Improved FP-Growth Algorithm and its Application in Tongue Diagnosis of Traditional Chinese Medicine" @default.
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- W2124701288 doi "https://doi.org/10.1109/fskd.2009.798" @default.
- W2124701288 hasPublicationYear "2009" @default.
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