Find The Potential Customers Of The E-Commerce By Data Mining Technology

E-commerce shows more and more strong vitality because of the Computer andthe internet technology has rapid development. People’s traditional shopping way haschanged. Shopping from internet has already became the way that the people willaccept. As More and more companies enter the e-commerce industry, the importantof the Electronic commerce’s development is that how to develop customer and howto discover potential customers from the users.On the above situation, we analysis potential user in e-commerce by Data mining.We use the large number of user information and transaction data which is stored inthe electronic commerce system database. Through the classification after theconversion using Apriori algorithm of association rules data mining technology wasobtained, and get the relation between the users of e-commerce. We analysis this datain order to find the users of e-commerce which can become a potential customers. Sothat it can provide scientific basis for the electronic commerce’s development anddecision-making.Data mining is that found the original data in the associations been hidden in orcorrelations between process and knowledge acquisition. Data mining is thetechnology of database, artificial intelligence, machine learning, statistical analysis,fuzzy logic, pattern recognition, artificial neural network, and multiple disciplinescombined product. Data mining has become one of research hot spots because of itswide application and high commercial value of current.Firstly, I expounded data mining, association rules and other related knowledge.In the current, association rules of data mining are the one of main mode thatresearches with. It focuses on the identification the data which in different areas ofcontact between. It finds the support and confidence thresholds of the multipledomain dependencies which are given in satisfy. I make comprehensive summary thebackground and development situation on data mining as well as the present situationof the domestic and foreign data mining system. I Analysis the data mining systemwhich faced and needed to solve the problems, and development trend of the future.The paper put the stress on the theory of Apriori and the its application toelectronic commerce system. According to its shortcomings, this paper also putforward some improved algorithm. It is faster and more efficient. It cuts downs thetimes we visit the data-base. Finally the paper introduces the application of thealgorithm to analyze the electronic commerce customers and find the potentialcustomers through analyzing the information of these customers. Finney I describes how to analysis customer with this algorithm and theelectronic commerce. I use the customer basic information extraction and analysis ofmining to find which customers can become potential customers.