Study On Mobile E-Commerce Of Customer's Behavior Mining And Implementation Mechanism

In recent years, with the constant development of Mobile Internet and Mobile Communication Technology, as well as the popularity of smart phones, mobile e-commerce technology came into being. Compared with the traditional e-commerce, mobile e-commerce is convenient and private, it can trade at any given time or place. Mobile e-commerce is becoming more and more prominent, and it has became the main trade mode in the filed of electronic commerce.Mining customer's behavior has became a hot research direction in the numerous research fields of mobile e-commerce. In the era of Internet, large amounts of data are generated in electronic commerce and lots of valuable information are hidden in the massive data, the company will develop very well if they can use those found information correctly.How to find knowledges from the massive data and then use it to make decisions, this is the problem that all e-commerce enterprises need to face and solve.Based on the naturade management system,combined with the mobile e-commerce technology and customer's behavior mining, this paper disscusses the content from the following two aspects:first, designed and implemented the naturade management system, and expanded the naturade's mobile terminal. This paper also introduces the design and implementation of the naturade platform, and mainly introduce the design of system architecture, database and the cache.Second,mining and analysis customer's behavior from the naturade transaction data. The article firstly analysis the potential lateral and vertical value that hidden in the transaction data, and then introduces the process that using apriori algorithm to mining rules from transaction data, and also analysis the rules and then apply it to practical application.