Paper Details

-To preserve privacy of data, privacy preserving data mining is the study of valid mining patterns and modelswhich mask private information. There are many privacy preserving data mining techniques which have been studied.onecrucial concept about existing data mining privacy preserving techniques are suitable and designed for static databases andnot suitable for data streams.Recently,data streams are introduced as new type of data which are differ from traditionalstatic data. Various features of data streams are: with time, data distribution changes constantly; data is having timepreferences; amount of data is extensive; flow of data with fast speed; requirement of immediate response. When has beenmodified, it would be necessary to rescan whole database, so it leads to more computation time and inability to respond theuser fastly.Further,it is observed that accuracy of data is decreases when transformation is carried out on data.so,there hasbeen need to develop the system which preserve privacy along with accuracy. So privacy preserving on data stream mining isvery crucial issue.

AshaKatharotiya, Pankajkawadkar, “Privacy Preserving Data Mining Using Random Rotation Based Data Perturbation Technique”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 5, pp. 231-242, May 2015.