Data mining in college student education management information system

In recent years, with the maturity of database technology, the rapid popularisation of network technology, and the continuous updating of computer hardware, data mining technology has developed rapidly. This article mainly introduces the application of data mining technology in college student education management information systems, to provide some methods and ideas for better management of student information, and proposes the application research method of data mining in college student education management information systems, including education data. An overview of mining K-means algorithm and fuzzy C-means clustering algorithm is used to build a data mining system. The calculation results show that the average processing time of the algorithm in the system is 1.92 seconds, which guarantees the experience of education administrators with the system.