Abstract: Sequential pattern mining is a knowledge discovery procession to look for frequent sub pattern from temporal sequence database. This paper applies sequential pattern mining to teaching management, constructs data model according to the temporal sequence database model on student achievement sample data, does sequential pattern mining, and gets three temporal sequence association rules whose confidence is higher than 65%. The experimental result indicates that applying sequence pattern mining to teaching management, and doing data mining on scores of relevant course is feasible. The found temporal sequential association rules have certain practical significance to improve the teaching management and promote the student's learning.

Key words: data mining, sequential pattern, temporal sequence association rules, teaching management, study promotion