Data mining technology can be used to discover useful knowledge from a large number of seemingly unrelated data. It can enhance the simple data query function to mining knowledge from data and thus provide a high level of decision-making reference for the decision makers. The data mining techniques provide an opportunity for the analysis of the results. By using the data mining techniques, we can conduct effective mining to large amount of achievement data and thus extract valuable information to provide guidance for teachers’ targeted teaching. Mining algorithm of fuzzy association rules is to introduce fuzzy set theory to associate rule mining to improve the disadvantage of edge data loss caused by traditional association rule analysis, and to expand the membership degree of factors in set to characteristic function from original {0,1} to [0,1] through membership function, then to mine out the hidden “knowledge”. This paper regards it as reference, then applies it to performance analysis, and employs the obtained association rule to guide the teaching of teachers and the learning of students, then to serve for the employment competitiveness improvement of students.