The Application Of The Data Mining Technique In Asset Management System

Assets management of Universities is cumbersome and important, it costs a lot of labor but inefficient, so the equipment procurement always depends on purchasing agent's work experience. To improve the status of work, the research project develop a assets management website which has been added the modules of decision support, to effective guidance for the leadership decision-making, using the data mining technology to research valuable rules from a large number historical procurement data.The thesis briefly summarized the basic theory of data mining technology, makes a deepstudy of the classical data mining algorithm——Apriori algorithm and its advancedalgorithm, analyzed and summarized the main defect of Apriori algorithm, and bring forward its methods of improvement. In this thesis, it analyzed the design methodology of assets management system in detail, emphatic discussed the application process of the advanced algorithm in the assets management system, realized the function of expected, achieve the purpose of scientific Management and rational decision making. This thesis also analyzed and Compared Apriori algorithm and its advanced algorithm, facts proved, the advanced algorithm's working efficiency of data mining is better than Apriori algorithm, verified the feasibility of the algorithm.