Inthe past few years, mining oftemporal frequent patterns from transactional database has gathered momentum. Numerous works and algorithms have been proposed for FIM [1,2,3,4], but the same models cannot be implemented to mine temporal patterns as none of the models are built to find patterns that consider periodicity of its occurrence in a database. The importance of an itemset really rests upon its utility rather than its participation count. Works over utility mining [5, 6 and 7] have gathered more momentum in this last decade and many research works have been carried out. In this paper, a survey is conducted on i) the works that led to periodic pattern mining, ii) the works over periodic pattern mining and iii) the extended and enhanced works of Periodic pattern mining. © 2018, Blue Eyes Intelligence Engineering and Sciences Publication. All rights reserved.