Chinese Traditional Medicine Couples And Groups Mining Methods Research

Chinese Traditional Medicine (TCM) has developed for thousands of years and accumulated hundreds thousands of prescriptions which have lots of compatibility of medicines rules. Mining them using the data mining technology is very significant to the development of TCM. Data mining is a process that discovers knowledge from mass data and information. TCM couples and groups mining is the basis of the TCM prescriptions multidimensional analysis that is a project authorized by National TCM Administration. This work studies TCM couples and groups mining methods.The main contribution includes: (1) Designs the logical formats and physical storage model for TCM prescriptions database via bitmap matrix。(2) Proposes bi-support association rules mining. (3) Analyzes problems in the association rules mining based on support and confidence. Proposes bidirectional association rules mining. (4) Implements TCM couples and groups mining system named TCMCGMiner. Experiment results show that the TCMCGMiner can discover interesting TCM couples and groups fleetly and roundly. The paper is organized as follows. Chapter 1 summarizes data mining. Chapter 2 introduces the actuality of applying data mining in the research of TCM prescriptions and the content of the TCM prescriptions multidimensional analysis. Chapter 3 introduces the association rules mining, and analyzes the Apriori algorithm. Chapter 4 explains how to establish the bitmap matrix and how to operate it. Chapter 5 gives bi-support association rules mining and its algorithm. Chapter 6 proposes bidirectional association rules mining and its algorithm, and analyses the relativity of bidirectional association rules. Chapter 7 describes the framework and the use of TCMCGMiner. Chapter 8 gives experiments for mining speed and mining rules of TCMCGMiner. Chapter 9 draws a conclusion.