Research on the Privacy Preserving Algorithm of Association Rule Mining in Centralized Database

The recent advance of data mining technology to analyze vast amount of data has played an important role in marketing business, despite its benefits in such areas, data mining also opens new threats to privacy and information security if not done or used properly. The main problem is that from non-sensitive data, one is able to infer sensitive information, including personal information, fact or even patterns that are not supposed to be disclosed. In order to focusing on privacy preserving association rule mining, the simplistic solution to address the problem of privacy is presented. The solution is to implement a filter after the mining phase to weed out or hide the restricted discovered association rules. Before implementing the algorithms, the data structure of database and sensitive association rule mining set have been analyzed to build the more effective model. This new algorithm can be used to balance privacy preserving and knowledge discovery in association rule mining.