ABSTRACT–Privacy is an important issue when one wants to make use of data that involves individuals’ sensitive information. Research on protecting the privacy of individuals and the confidentiality of data has received contributions from many fields, including computer science, statistics, economics, and social science. In this paper, we survey research work in privacy-preserving Data Publishing and Association Rule Mining. Association rule mining is the most important technique in the field of data mining. It aims at extracting interesting correlation, frequent pattern, association or casual structure among set of item in the transaction database or other data repositories. Association rule mining is used in various areas for example Banking, department stores etc. In this paper, we provide the preliminaries of basic concepts about association rule mining and survey the list of existing association rule mining techniques. Of course, a single article cannot be a complete review of all the algorithms, yet we hope that the references cited will cover the major theoretical issues, guiding the researcher in interesting research directions that have yet to be explored
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