Achieving non-discrimination in data release

22 Nov 2016 Lu Zhang Yongkai Wu Xintao Wu

Discrimination discovery and prevention/removal are increasingly important tasks in data mining. Discrimination discovery aims to unveil discriminatory practices on the protected attribute (e.g., gender) by analyzing the dataset of historical decision records, and discrimination prevention aims to remove discrimination by modifying the biased data before conducting predictive analysis... (read more)

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