Association Rules Algorithm In Data Mining Design And Implementation

. With the progress of science and t echnology and the rapid developm ent of network technology, database technology, more and more data sources, hum an beings have the amount of data has increased dram atically, such as in industrial, commercial, scientific research, administ ration, medical treatment, insurance and other fields, in addition, the governm ent, scientific research institutions such as invested a lot of manpower and material resources to collect, store data, then, people used to face the fact that data growth all the tim e. However, we do not have very good use of the existing data, let it play a proper role. Based on the a bove reasons, this topic selection research of data mining technology, and at present there are many data mining algorithm, this article focuses on Apriori algorithm of association rules.In view of the Apriori algorithm, this topic to do the main work as follows:1) The research studied the Apriori algorithm, the thought and the work flow of the Apriori algorithm have a deeper understanding and the understanding.2) The Apriori algorithm has many defects, in view of the existing defects, this topic put f orward an im proved Apriori algorithm, the im proved algorithm can effectively reduce the number of data m ining and reduce the num ber of relations can’ t be mining itemsets, and the application more flexible.3) The Apriori algorithm combined with bayesian network algorithm constructs the electronic commerce recommendation model, build the model is applied to the electronic commerce recommendation system, the application effect shows th at recommend model can effectively improve the electronic commerce network marketing.