Research on Credit Early Warning System Based on Clustering Technology

This research is to find valuable information from a large number of students' grade by the powerful data analysis capabilities of data mining technology. Based on Clustering technology, mining and clustering students' previous course credit data could bring about a classification model and effective evaluation of the model, which could provide students with scientific and objective course guidance and recommendations, improving students' academic achievement. At the same time, combined with spss and clustering technology, a credit early warning system model is constructed in this paper.