A Survey of Association Rule Hiding Approaches For Privacy Preservation Data Mining
| Author(s) | : | Divya C. kalariya, Vinita Shah, Jay Vala |
| Institution | : | Research Scholar G.H. Patel College of Engineering and Technology. Vallabh Vidyanagar, India |
| Published In | : | Vol. 2, Issue 13 — January 2015 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Data mining algorithm is used to extract the useful knowledge or information from database. Privacy preservation data mining isnovel research area where data mining algorithms are analyzed for their side-effects they done on data privacy. Privacy preservation datamining (PPDM) deals with the problem of hiding the sensitive information w hile analyzing data. Many techniques are available for PPDMlike data distortion, data hiding, rule hiding, data modification etc. Association rule hiding is one of the technique of PPDM. It hides sensitiverules which are generated by association rule generation algorithm before releasing database. This paper discusses different approachesof association rule hiding technique.
Divya C. kalariya, Vinita Shah, Jay Vala, “A Survey of Association Rule Hiding Approaches For Privacy Preservation Data Mining”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 13, pp. -, January 2015.
