E-commerce Systems, Data Fusion Research And Design, And Olap

With the development of the Internet and Electronic Commerce, lots of corporations have taken their business into Internet. Corporations have to know their clients and to predict the clients' need for remain invincible in the business competition, so that to take up initiative in sales.On the internet, thousands of people are visiting the web site everyday. Each click of them will be recorded into server log files. What really matters is that those Click Stream data are of great significance for the E-commerce site. So, how to make the best use of them and to mine the valuable information has been the great concern of those famous web sites and enterprises.It's not enough having these Click Stream data for corporations. For the web sites, they can't make an advisable decision, because they did not know who have visited the web site. For this reason, we have set up Click Stream Data Warehouse integrating the business data, click stream and other data. With the click stream data warehouse, web sites just like has eyes and ears.This thesis, Click Stream Data Warehouse was built by combining the clicking data and the business data of E-business web sites together. Based on all of the data, a reasonable analysis and prediction was made. Taking one of the E-business web sites-China Yike as the background, a detailed introduction about the statistics of the clicking data is made and used in reality. Meanwhile, the Click Stream Data Warehouse was designed carefully and a click data mark was also created. Finally, how to use OLAP was further analysis. Finally, this thesis is summarized, and the development in future is outlook.