An Approach on Privacy Preserving Data Mining Based on Fuzzy C-Means
Extracting information from an existing data warehouse and transforming it to a human understandable form for further use is the main objective of data mining. The data mining process does not enclose, any security any person can repossess the information from the data warehouse. The data are categorized in the two sorts like high sensitive data and low sensitive. This categorization is done mainly to guard the confidential data from the third party users. This process of mining is supposed to be privacy preserving data mining. In this paper, categorization of sensitive data and non sensitive data is done and the sensitive data is hidden from the third party users and the non sensitive data is made public to the third party users.