Abstract: OBJECTIVE To explore the prescription rules of Mongolian medicine for the treating of heat syndrome based on association rules, to mine association rules, high frequency drugs and auxiliary drugs, and to provide reference for research and development of new Mongolian medicines. METHODS Data preprocessing was performed on Mongolian medicine prescriptions for the treatment of heat syndrome in Traditional Mongolian Medicines and Prescriptions and entered into the database of self-developed "Mongolian Medicine Prescription Data Mining System". The Apriori algorithm based on the reduced binary matrix was used to conduct global and drill-down analysis data mining for the Mongolian medicine prescriptions for the treatment of heat syndrome. RESULTS The frequent itemsets and association rules of global and 8 indication classifications under various support and confidence levels were obtained by the experiments. The 3 vital drugsHerb of Tabasheer,Carthami Flos, andGardeniae Fructus were obtained from the global data mining, and thenHerb of Tabasheer andCarthami Flos were the keys to the treatment of heat syndrome. The auxiliary drugs and drug groups that make the indication shift were found from the drill-down analysis data mining for the 8 indication classifications. CONCLUSION Discovered the global vital drugs and the auxiliary drugs that make the indication shift by association rule mining of Mongolian medicine heat syndrome prescriptions can better guide the researchers in the research and development of new medicine.