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Correction to: Exposing the probabilistic causal structure of discrimination.

, , , and . Int. J. Data Sci. Anal., 9 (3): 373 (2020)

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Exposing the probabilistic causal structure of discrimination., , , and . Int. J. Data Sci. Anal., 3 (1): 1-21 (2017)Exposing the Probabilistic Causal Structure of Discrimination., , , and . CoRR, (2015)FA*IR: A Fair Top-k Ranking Algorithm., , , , , and . CIKM, page 1569-1578. ACM, (2017)Anti-discrimination Analysis Using Privacy Attack Strategies., , , and . ECML/PKDD (2), volume 8725 of Lecture Notes in Computer Science, page 694-710. Springer, (2014)Correction to: Exposing the probabilistic causal structure of discrimination., , , and . Int. J. Data Sci. Anal., 9 (3): 373 (2020)FaiRecSys: mitigating algorithmic bias in recommender systems., , , , and . Int. J. Data Sci. Anal., 9 (2): 197-213 (2020)Generalization-based privacy preservation and discrimination prevention in data publishing and mining., , and . Data Min. Knowl. Discov., 28 (5-6): 1158-1188 (2014)A Case Study of Anonymization of Medical Surveys., , and . DH, page 77-81. ACM, (2017)On the Use of Haar Wavelet Transform and Scaling Data perturbation for Privacy Preserving Clustering of Large Datasets., and . Int. J. Wavelets Multiresolution Inf. Process., 9 (6): 867-904 (2011)A privacy preserving clustering technique for horizontally and vertically distributed datasets., and . Intell. Data Anal., 15 (4): 503-532 (2011)