A survey on association rule hiding methods

Rapid growth of information technology has led to creation of huge volumes of data which will be useless if they are not efficiently analyzed. Therefore, various techniques have been provided for retrieving valuable information from huge amounts of data, one of the most common of which is mining association rules. As much as data mining can be important for extracting hidden knowledge from data, it can also reveal sensitive information, which has created some concerns for data owners. Thus, the issue of hiding sensitive knowledge and preserving privacy was raised in data mining. In this paper, different methods for preserving privacy was studied and by mentioning advantages and disadvantages of each method, a suitable platform was provided for researchers to be able to implement the best technique for sanitizing the considered database.