International Journal of Management IT and Engineering
  • Year: 2020
  • Volume: 10
  • Issue: 1

A study of fuzzy based approach for securing information in data mining

  • Author:
  • Shrikant Zade1, Chandikaditya Kumawat2, Pradeep Chouksey3
  • Total Page Count: 11
  • Page Number: 86 to 96

1Research Scholars, CSE Deptt., Mewar University, Rajasthan, (India)

2Professor, CSE, Mewar Uni. Rajasthan

3Asso. Prof., CSE Deptt, LNCT, Bhopal

Online published on 25 August, 2021.

Abstract

Extracting previously unknown patterns from huge volume of data is the main objective of any data mining technique. In recent days there are tremendous growth in data collection due to the computerization. The patterns revealed by data mining algorithm can be used in various domains like Image Analysis, Marketing and weather forecasting, etc. As a side effect of the mining algorithm some sensitive information is also revealed. There is a need to preserve the privacy of individuals which can be achieved by using privacy preserving data mining. In this paper we study a new approach to preserve sensitive information using fuzzy logic.

Keywords

Privacy preserving, K-means, Fuzzy data set, Classification