The Study And Application Of Web User Behavior Analysis Based On Data Mining

With the rapid development of Internet technology,the Internet of many traditional industries is gradually developed into self-builting Vertical E-Business.It is the fact that the vast majority of offline consumer gradually turned to online shoppers after the network is fitted in people’s real life.According to the figures from the national bureau of statistics,the Chinese total retail sales of social consumer goods increased from 18.4 trillion yuan to 18.4 trillion yuan in 2011-2014, the annual rate of growth is more than 10%.ln the next few years,the Chinese retail market is in good development environ ment,,the total retail sales of social consumer goods may continue to rise steadily, the numerical is expected to exceed 30 trillion in 2016.However, the majority of reasons are the development of e-commerce in the Internet age.According to the Internet of many traditional business scenarios, all walks of life combined with the rapid development of modern logistics system, the allocation of social resources is going to the characteristics of no obviously regional difference.I work in the project team mainly includes the definition of user behavior data index and analysis of user behavior data.Through the definition of data index and the collection of front-end user behavior data.Then,we access the database,using the data mining algorithm for data processing and analysis to generate the pictures of real-time visualization.The study have been supporting for the PC-Mall and Mobile-Mall of ChinaUnicom to analyse user behavior data and it has an important influence on product design.