A IMPROVED PRIVACY PRESERVING ALGORITHM US-ING ASSOCIATION RULE MINING IN CENTRALIZED DA-TABASE

The recent advancement in data mining technology to ana-lyze vast amount of data has played an important role in several areas of Business processing. Data mining also opens new threats to privacy and information security if not done or used properly. The main problem is that to hide sensitive information, including personal information, fact or even patterns which are generated by any algorithm of data min-ing from the others. In order to focusing on privacy preserv-ing association rule mining, the simplistic solution to address the problem of privacy is presented. To overcome these problems, we propose a algorithm named improved Privacy Preserving Algorithm using Association Rule Mining which is based on the random Perturbation technique which is best in efficiency and performance. This method is suitable to the any type of data. Our algorithm is a good way to apply data mining techniques with security that hides our logical in-stances from others.