| The development of the Internet gave birth to a new business model as online e-commerce business model, how to effectively access to get vast amounts of customer and enterprise information is even more important. At the same time, the competition between e-commerce tends to be a point in the mouse and therefore how to obtain and maintain such various network customers of relatively high mobility e-commerce has become the focus of competition between enterprises. Enterprise began to implement the concept of e-commerce management into all its aspects such as procurement, production, sales, and after-sales service. In this process, it needs to use customer data warehouse in the types of relevant information. And how to effectively use the information of the e-commerce management have become the most important technical aspects of the field. Because of this, data mining technology applications in the field of e-commerce management will be inevitable. In accordance with the implementation of business processes data mining technology in e-commerce management functions includes data cleaning customers selection, acquire and keep customers, the value of customer identification, customer satisfaction analysis and customer credit analysis, to study the effective use of these complex resources, new technologies, in terms of the information processing, data mining is to understand the data analysis and data knowledge of internal reserves, it has become one of the important goals of the future information technology application. In this paper, based on the analysis of Web services and Agent related technologies, in order to solve the core problem under e-business environment, exploring in-depth study from the two areas of the key algorithm and architecture to study the system composition of the e-commerce management, the specific functions and applications in e-commerce management, and to track Web browsing behavior of the algorithm application. |
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