Two Mining Based on Maximal Frequent Associated Patterns to Study the Rules of Drug Patterns
Zhongmei Zhou · Journal of Zhangzhou Normal University · 2012
The research of the composition of medicines in a prescription is one of difficult and important tasks in formulas of Chinese medicine.We use all-confidence to mine maximal frequent all-confidence patterns.We give two mining method base on maximal frequent all-confidence patterns and mine rules of the composition of drug patterns in order to find laws of the composition of drug patterns.As a result,we can help the research of the composition of medicines in a prescription and meanwhile offer a number of rules for clinically formulating prescription.First,we give the related definitions,such as the definition of a maximal frequent all-confidence pattern and so on.Second,we give the two mining method based on maximal frequent all-confidence patterns.Finally,we perform experiments in prescription database.The experimental results show that the two mining method base on maximal frequent all-confidence patterns can find many rules of the composition of drug patterns.Thus,it is helpful for us to find laws of the composition of drug patterns.