International Journal of Computer Applications
Sequential rule mining is an important data mining task with wide applications. The current algorithms for discovering sequential rules common to several sequences use very restrictive definitions of sequential rules. Among various data mining objectives the mining of frequent patterns has been the focus of knowledge discovery in databases. In this paper, the authors aim to investigate efficient algorithm for mining including association rule and sequential patterns. The time and space consumption of proposed algorithm will be lesser in comparison to previous algorithm.