Correlation Based Transformation For Privacy Preserving Medical Data Publication

Document Type : Primary Research paper


Department of Computer Science and Engineering Bannari Amman Institute of Technology, Erode, Tamil Nadu


Privacy protection is a high level of encouragement to provide confidential information by
posting the details of the customers. Data mining tasks are incorporated in the database for
data intelligence and the knowledge recovery. Initially different isolated transformation
techniques are proposed for masking the sensitive information, which combines correlation
analysis and data transformation provides intended level of privacy preservation. In this
research work correlation based transformation techniques are considered to preserve the
sensitive information and provides the complete privacy of the original information. The
classifiers Decision Tree (DT), Random Forest(RF), Linear model, Ada Boost, Support Vector
Machine and Neural Network are used to identify the performance of the proposed works.


Volume 12, Issue 3 - Serial Number 3
ICMMNT-2021 International Virtual Conference on Materials, Manufacturing and Nanotechnology, 30th June, 2021.
June 2021
Pages 1038-1046