AN APPROACH FOR DISCRIMINATION PREVENTION IN DATA MINING

Dive Rupanjali T, A.P Khedkar

Abstract: In the age of Database technologies a large amount of data is collected and analyzed by using data mining techniques. However, the main issue in data mining is potential privacy invasion and potential discrimination. One of the techniques used in data mining for making decision is classification. On the other hand, if the dataset is biased then the discriminatory decision may occur. Therefore, in this paper we review the recent state of the art approaches for antidiscrimination techniques and also focuses on discrimination discovery and prevention in data mining. On the other hand, we also study a theoretical proposal for enhancing the results of the data quality

Keywords: Antidiscrimination, data mining, direct and indirect discrimination prevention, rule protection, rule generalization, privacy.

DOI: https://doi.org/10.15623/ijret.2014.0303076