A Survey of Privacy Preserving Data Mining Algorithms
Xiao Chen · 2007
There has been a meaningful research problem that how to protect privacy or sensitive information from leaking during data mining process, meanwhileobtain accurate result. This paper summarizes the features of privacy preserving data mining algorithms by analyzing and comparing some representative ones which include data distribution, data modification, data mining algorithms and data or rules hiding in the light of data distribution. Furthermore according to the comparison, some evaluation standards are brought forward to develop new effective algorithms for future research, such as secrecy, rules efficiency, complexity of the algorithm, expandability.