Privacy preserving in data mining using PAM clustering algorithm

Abstract EN

“Data mining is the extraction of hidden predictive information from large databases and also a powerful new technology with great potential to analyze important information in the data warehouses.

Privacy preserving data mining is a latest research area in the field of data mining which generally deals with the side effects of the data mining techniques.

Privacy is defined as “protecting individual’s information”.

Protection of privacy has become an important issue in data mining research” (S.Vijayarani et al., 2011).

Clustering is a division of data into groups of similar objects.

In this paper we have used PAM clustering algorithms in health datasets.

The cluster selected to be hided are considered as sensitive cluster.

This sensitive cluster is protected by using Additive Noise Perturbation random method.