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Luo, 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
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Gavin, Amanda; Roche, Bryan; Ruiz, Maria R.; Hogan, Maria; O'Reilly, Anthony – Psychological Record, 2012
The current study assessed the sexual categorization of children among a random sample of adults from the general population. Twenty-seven males and 27 females (N = 54) were exposed to a categorization task that assessed their ability to discriminate adult- from child-related words and sexual from non-sexual words. Then, in a modified Implicit…
Descriptors: Children, Association Measures, Stimuli, Classification