摘要Objective: Study on medication rules of traditional Chinese medicine in treating Meniere 's disease based on data mining technology. Methods: Computer retrieval with since establishment of the"CNKI", "WF", "VIP", there have been literatures on the treatment of Meniere syndrome with Traditional Chinses medicine. Memory preprocessing in accordance with inclusion criteria. Then, EXCLE 2010, SPSS Statistics (ver. 25) and SPSS Modeler (ver. 18.0) were adopted respectively for frequency analysis, cluster analysis and association rules analysis. Result: A total of 133 references were included in this study, 146 prescriptions, 192 kinds of drugs, and the total frequency of drugs was 1702. The high frequency Meniere syndrome types were spleen deficiency and phlegm dampness syndrome, wind phlegm syndrome, gallbladder depression and phlegm disturbance syndrome, hyperactivity of liver yang syndrome, phlegm and blood stasis syndrome. The efficacy of drug frequency 25 were summarized as follows, antiasthmatic drugs for relieving phlegm and relieving cough, diuresis-removing dampness, Tonic drugs, etc. High frequency meridian of drugs are: lung, liver, spleen, etc. High frequency drug properties are: temperature, cold, flat etc. High frequency drug taste: bitter, sweet, pungent, etc. Core drugs: Pinellia, Atractylodes, Poria, Gastrodia, etc. The main prescriptions werealisma soup, Banxia Baizhu Tianma Decoction, Zhengan Xifeng Decoction and Xiaochaihu Decoction. Conclusion: In this study, data mining was used to sort out the treatment of Meniere ' s disease by traditional Chinese medicine. It was found that the treatment of Meniere ' s disease was mainly to calm the liver and strengthen the spleen, supplemented by regulating qi and activating blood, clearing heat and opening orifices, tonifying deficiency and tranquilizing mind.