A Review on Security Techniques for Privacy-Preserving in Data Mining
with the increase in the data mining algorithm knowledge extraction from the large data is getting easy. But at the same time this lead to new problem of Privacy of the knowledge from the stored data at various servers. So it is required to provide privacy of the sensitive data from the data miners. This paper focuses on various approaches implemented by the miners for preserving of information at individual level, class level, etc. A detail description with limitation of different techniques security of privacy preserving is explained.