This paper is Closed Sequential Pattern Mining by Same Support Threshold Value (ClospamSSV). The main intend is to find the closed frequent item sets from huge sequence database. The ClospamSSV discovers ideally Minimal Closed Sequential Patterns in long sequence databases. The experimental evaluation shows that the proposed algorithm outperforms the Clospam. The Same Support Value is used to prune search spaces according to the given supported threshold value.