Research And Application Of Data Mining In Online Bookstore

At present.Online bookstore have begun to use data mining technology that can convert information into valuable knowledge. In the context.according to the deficiencies of algorithms for data mining module online bookstore application.Presented the improved algorithm of Apriori and ID3 through learning and research.This paper analyzed the Apriori algorithm for association rules, classification of the ID3 algorithm and sequence pattern analysis in the GSP algorithm;And improved Apriori algorithm and ID3 algorithm. Improved Apriori algorithm can improve the efficiency of the algorithm, improved ID3 algorithm makes the classification results more uniform and higher accuracy. In this paper, SqlSever database and object-oriented programming language Java, according to data from online bookstore features to data mining, database theory, part of the online bookstore of data mining models in the design and implementation.The research of the paper offers new ideas for data mining in E-commerce that enhance the competitiveness of online bookstore, it is a useful practical attempt.