International Journal of Engineering and Management Research (IJEMR)
  • Year: 2017
  • Volume: 7
  • Issue: 1

Comprehensive Review on Privacy Preserving Data Mining Techniques and Methods

  • Author:
  • P. Annan Naidu, M. Vamsi Krishna
  • Total Page Count: 6
  • Page Number: 121 to 126

Department of Computer Science & Engineering, Centurion University, Odisha, India

Online published on 31 October, 2017.

Abstract

Now a day's information is played major role in decision making in an organization. We are in the world of information processing society. Data is the major valuable resource of any business or organization. There is a huge amount of sensitive data produced by various business operational applications. Sharing information between various sources through authorized channel is an important task. Data Mining is kind knowledge discovery system, through this data can extract from different sources. While sharing information through different channels or extracting information from different external sources, the key factor is protecting data from unauthorized accesses. This paper presents a brief idea about protecting extracted data of data mining system without loss of processing data using Privacy Preserving techniques and its comparison.

Keywords

Data mining, Privacy Preserving, Randomization, k-anonymity model, l-diversity, Condensation approach