Cluster Analysis And It's Application In Student Information Management System

Along with the continuous enlargement of education scale, the number of students has increased dramatically, which gives student management work much pressure, and the students' information management system can not meet the demand. So, the construction goal of digital campus is put forward, which takes the network as the basis, uses advanced information means and tools to realize the resource digitization, and finishes all managements by computers. The digital campus will accumulate large amounts of data, from which how to excavate the implied laws, and apply them to improve the school management and the management efficiency is a very meaningful work.Data mining is developed in recent years. Through the new technology of data mining, people can find the valuable and potential knowledge behind data, giving powerful surport for various business decision-making. While clustering analysis is one of the major data mining technologies, it groups physical or abstract objects into clusters by similarity, and provides basis for data related decision-making.This dissertation focuses on the study of construction of students' information management system and related data mining, and mainly investigates and discusses the following several aspects:(1) Based on the brief introduce of research background and subject significance, the paper describes the education informationization, data mining, and clustering analysis, etc.(2) Aiming at the problems existing at clustering algorithms, genetic algorithm was first introduced, then the improved genetic fuzzy clustering algorithm (IGFCM) was put forward, where the improvements mainly included the coding method, the genetic operator and stop standards. Finally, the performance of the algorithm is tested by the standard data set IRIS. Compared with traditional clustering algorithm and GFCM algorithm, he algorithm IGFCM proposed in this dissertation is proved effective.(3) After the analysis of system development-related tools and methods, aiming at the requirements of students' information management systems, a simple student information management system was designed, which provided a platform for the following grade analysis by clustering algorithms. (4) The algorithm IGFCM was used to cluster the students'grade of computer department of Weifang college. The experimental results show that this method is competent for students' grade analyses, and can help the relevant departments and teachers to make decisions.