| Scholar Name | Anita Parmar |
| Department | Information Technology |
| Reseach Area | PRIVACY PRESERVING IN DATA MINING |
| Supervisor Name | Dr. Chirag Patel |
| Title | PRIVACY PRESERVING IN DATA MINING |
| Abstract | Nowadays it is common to share data between two organizations in many application areas. When data are to be shared between parties, there could be some sensitive patterns which should not be disclosed to the other parties. We address such the problem of sensitive data hiding. As the increasing use of data mining, huge volumes of detailed personal data are regularly collected and analyzed. Analyzing such data opens new threats to privacy and autonomy of the individual if not done properly. Thus, an interesting new direction of data mining research, known as privacy preserving data mining (ppdm), has been developed by the research community working on privacy and knowledge discovery. The aim of these algorithms is the extraction of relevant knowledge from large collection of data, while protecting private information |