Literature Review on data mining approach for security and information hiding

Association Rule Mining from a lot of information is a standout amongst the most significant issue in information mining, in light of the fact that the found learning is economically profitable. Some of the time organizations associated with the comparative business are frequently eager to coordinate one another so they can perform information mining to remove learning from joined datasets. By and large the fundamental goal behind such sort of information mining is common increase of every single included gathering. In any case, the organization dataset contains private or sensitive information. In this paper, a literature review to protect sensitive information using various efficient algorithms has been studied.