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Download full textLuo, Ling; Koprinska, Irena; Liu, Wei – International Educational Data Mining Society, 2015
In this paper we consider discrimination-aware classification of educational data. Mining and using rules that distinguish groups of students based on sensitive attributes such as gender and nationality may lead to discrimination. It is desirable to keep the sensitive attributes during the training of a classifier to avoid information loss but…
Descriptors: Classification, Data Analysis, Case Studies, Prediction
