Uncertain data exists in many situations, such as sensor networks, mobile computing, military, telecommunications and other applications, which makes it difficult to apply traditional algorithms to mining frequent item sets. To deal with these situations, we propose an efficient algorithm based on possible world model with single scan of database. The algorithm works well without any tree construction. Experimental results show that the efficiency of our algorithm is better than UF_Growth.