• Yamini N. Pandya
• Prof. Niti Shah

Now days Data and Knowledge extracted by data mining techniques represents a key asset driving research, innovation and policy making activities. the data publication and data security are still very difficult. Data offense contains personally identifiable information and therefore releasing such data may result privacy breaches. we presented a new privacy metric, δ-Presence, that clearly links the quality of anonymization to therisk posed by inadequate anonymization.In these paper work on medical data using proposed model for improving Privacy of Data.

k-Anonymity, K- Medoid, delta presence, medical databases,Privacy Preserving Data Mining (PPDM)

"Efficient Method for Privacy Preservation Using δ-Presence Based on Heuristic Approach ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.152-159, May-2019, Available :http://www.jetir.org/papers/JETIR1905H26.pdf

"Efficient Method for Privacy Preservation Using δ-Presence Based on Heuristic Approach ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp152-159, May-2019, Available at : http://www.jetir.org/papers/JETIR1905H26.pdf