Objective：To use the Apriori algorithm of association rules to discuss the medication rule of Professor ZHANG Xuewen for hypertension based on syndrome differentiation.Methods：Selected 147 cases of hypertension which Professor ZHANG treated，162 prescriptions in total.With the aid of Chinese medicine inheritance support platform，the data mining methods were adopted to analyze the prescriptions， such as the method of frequency analysis， association rules and complex system entropy cluster analysis，so as to determine the frequency of use of various medicines in the prescriptions and the association rule among medicines themselves.Results：The medicines mainly manifested as the liver heat and blood stasis syndrome；the commonly used medicines included rhizoma gastrodiae，radix cyathulae， salviae miltiorrhizae and Chrysanthemi.The highest frequency of use was sweet medicines，1 063 times in total，and the cold medicines accounted for 62.67% of the total frequency.Based on the unsupervised complex system entropy cluster analysis，fifteen new prescriptions for hypertension were selected.Conclusion：The treatment of Professor ZHANG Xuewen with the theory of heat and stasis by liver-based therapy for hypertension has exact curative effect.