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2012 IEEE 12th International Conference on Data Mining Workshops
A Study on the Impact of Data Anonymization on Anti-discrimination
Brussels, Belgium Belgium
December 10-December 10
ISBN: 978-1-4673-5164-5
In last years, data mining has raised some concerns related to privacy invasion of the individuals and potential discrimination based on the extracted patterns and profiles. Efforts at fighting against these risks have led to developing privacy preserving data mining (PPDM) techniques and anti-discrimination techniques in data mining. However, there is an evident gap between the large body of research in data privacy technologies and the recent early results on anti-discrimination technologies. This context presents a study on the relation between data anonymization from privacy technologies literature and anti-discrimination. We discuss how different data anonymization techniques have impact on discriminatory biased datasets.
Index Terms:
Data privacy,Itemsets,Context,Data models,Legislation,Privacy,Classification rules,Privacy,Anti-discrimination,Data anonymization,Generalization,Suppression
Citation:
Sara Hajian, Josep Domingo-Ferrer, "A Study on the Impact of Data Anonymization on Anti-discrimination," icdmw, pp.352-359, 2012 IEEE 12th International Conference on Data Mining Workshops, 2012
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