70 Int. J. Data Science, Vol. 2, No. 1, 2017 Copyright © 2017 Inderscience Enterprises Ltd. Discrimination-aware data mining: a survey Asmita Kashid*, Vrushali Kulkarni and Ruhi Patankar Department of Computer Engineering, Maharashtra Institute of Technology, Savitribai Phule Pune University, Maharashtra 411038, India Email: asmitakashid@gmail.com Email: vrushali.kulkarni@mitpune.edu.in Email: ruhi.patankar@mitpune.edu.in *Corresponding author Abstract: Data mining is a very important and useful technique to extract knowledge from raw data. However, there is a challenge faced by data mining researchers, in the form of potential discrimination. Discrimination means giving unfair treatment to a person just because one belongs to a minority group, without considering one’s individual merit or qualification. The results extracted using data mining techniques may lead to discrimination, if a biased historical/training dataset is used. It is very important to prevent data mining technique from becoming a source of discrimination. A detailed survey of discrimination discovery methods and discrimination prevention methods is presented in this paper. This paper also presents the list of datasets used for experiments in different discrimination-aware data mining (DADM) approaches. Some ideas for future research work that may help in preventing discrimination are also discussed. Keywords: DADM; discrimination-aware data mining; discrimination discovery; discrimination prevention. Reference to this paper should be made as follows: Kashid, A., Kulkarni, V. and Patankar, R. (2017) ‘Discrimination-aware data mining: a survey’, Int. J. Data Science, Vol. 2, No. 1, pp.70–84. Biographical notes: Asmita Kashid is a post-graduate student of the Department of Computer Engineering, Maharashtra Institute of Technology, Pune, Maharashtra, India. Her current research area includes pre-processing techniques for discrimination prevention using privacy protection methods. Vrushali Kulkarni is the Head of Computer Engineering Department of Maharashtra Institute of Technology, Pune, Maharashtra, India. She has published papers in various international journals and conferences. Her areas of research interest are data mining, machine learning, algorithms and compilers. Ruhi Patankar is an Assistant Professor at Computer Engineering Department of Maharashtra Institute of Technology, Pune, Maharashtra, India. Her areas of research interest are database management, operating systems and data mining.