Brussels, Belgium Belgium
Dec. 10, 2012 to Dec. 10, 2012
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDMW.2012.96
Regulations worldwide ban discrimination on many factors, including gender, race, age, etc. This poses a problem for data mining, as learning from historical data containing discriminatory decisions may perpetuate discrimination, even if protected attributes are not used. We focus on discrimination prevention for classification. We introduce a new training set correction approach to handle discriminatory decision policies. Previous training set correction approaches are policy-neutral, our approach specifically targets decision policies evidencing discrimination. The goal is to target specific evidence of discrimination, and thus reduce discrimination with little impact on classification accuracy.
Training, High definition video, Scholarships, Bismuth, Context, Data mining, Qualifications, decision policy, discrimination, classification
Koray Mancuhan, Chris Clifton, "Discriminatory Decision Policy Aware Classification", ICDMW, 2012, 2013 IEEE 13th International Conference on Data Mining Workshops, 2013 IEEE 13th International Conference on Data Mining Workshops 2012, pp. 386-393, doi:10.1109/ICDMW.2012.96