A Study Of The Colleges’ Logistics Information Construction Based On Data Mining

In the 21 st century, the application field and scope of information technology has become increasingly common. And in-depth integrate the information technology with various industries has been gradually understood and accepted by all social fields. At present, the colleges and universities are deeply reforming college logistics socialization in China. Among them, the logistics informatization has become a main direction of the reform of logistical socialization. Therefore, the needs of applying information technology in logistics management and establishing a set of complete logistics information system are more urgent. Secondly, in the logistics management, logistics management system will face a huge number of user’s data and information. How to effectively organize these data to support for the decision of logistics management will become the test of logistics management department in the future a period. Above all, to establish perfect functions and data mining ability’s logistics system has become the only way for the future construction of universities.From the Angle of view of the data mining, this paper revolves around six related part of the contents. The first chapter establishes the background of this article topic and the research status at home and abroad, etc. The second chapter detailed analysis the related theory and key technology. The third part in W college as the research object, based on an analysis of the overall demand of the W college logistics management, in the form of a use case diagram of the corresponding logistics department analyzed the functional requirements, and in the form of flow chart carried on the thorough analysis of demand for the core business, thus established the direction for system design. The fourth part in the design of the MVC pattern, designed the overall system architecture, database of W college and main function module, and based on data mining goal established a concrete method of data mining. And, this part designed the three key modules of the energy property mining module, data mining module and data mining module shops. The fifth part completed the design of the public module, core module and the function of the key module. The sixth part reviewed the research results of the study and the future research.