Research and Application on Association Rules Based on Apriori Algorithm

At present in China,data mining research and application is not widely used.Most of the database only for data entry,query,statistics and other lower-level functions,can not find the data that exists in a variety of useful information.Association rules found in data mining is mainly used for the relevant links between data items.Supermarket shopping is taken for example,to find relevancy of customers' buying.Applying priori principle of Apriori,the number of searching for frequent item sets is reduced.On the foundation of abstracting model of customers' buying and implementation of algorithm-based system based on vc++ and access database,intrinsic correlation of goods purchased is simulated and analyzed.Income will be increased,if a few commodities with a high degree of confidence are put together.According to above-mentioned theory and analysis,the practicality of improved-algorithm has been proved.