A Robust Data Preserving Technique by K-Anonymity and Hiding Association Rules
With the development of data mining technology, an increasing number of data can be mined out to reveal some potential information about user. While this will lead to a severe problem, which is users' privacy may be violated easily. The goal of privacy preserving is to mine the potential valuable knowledge without leakage of sensitive records, in other words, use non-sensitive data to infer sensitive data. This paper analyzes and optimizes the technologies of privacy preserving data mining.