Application Of Data Mining Technology In The College Student Performance Management System

With the rapid development of higher education,governance and optimization of integrated services has become core objective of universities' information management in recent years.There is a trend of increasing in the universities' requirement on informationize data.Therefore,applying data mining technology to student performance management system can find critical factors which affecting their performance.Conducting analysis systematically is favorable to university's educational reform and student career management so that providing school leaders' decision making with effective analysis tools.Based on universities and colleges' present situation of development,the paper can predict university student performance management system with data mining technology.The paper takes SSH framework as foundation and takes Web as front display data.The work of the paper in the development process of the system as follows:1?Analysis on characteristics of university's information data were conducted by field study and Apriori algorithm and decision tree C 4.5 algorithm in data mining technology were studied.Data model compiling with universities' data structure characteristics was built and applied in project research.2?Integrated strategy which complying with actual project was designed according to different systematic business and conducted study on data integration technology.3?It is to conduct analysis on the requirement of the system and completing structural design,coding and other detailed work for the system.4?It is to analyze factors affecting student's performance with association rule analysis.5?It is sorting student employment information with decision tree C4.5 algorithm and finding correlation factor which affecting student employment.The practice shows that there are broad prospects and practical significance in the university's applying data mining technology of student performance management system.