A Study on the Impact of Data Anonymization on Anti-discrimination

Author

Hajian, S. ; Domingo-Ferrer, J.

Author_Institution

Dept. of Comput. Eng. & Math., Univ. Rovira i Virgili, Tarragona, Spain

fYear

2012

fDate

10-10 Dec. 2012

Firstpage

352

Lastpage

359

Abstract

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.

Keywords

data mining; data privacy; prejudicial factors; PPDM techniques; anti-discrimination techniques; anti-discrimination technologies; data anonymization techniques; data privacy technologies; discriminatory biased datasets; privacy invasion; privacy preserving data mining; Context; Data models; Data privacy; Itemsets; Legislation; Privacy; Anti-discrimination; Classification rules; Data anonymization; Generalization; Privacy; Suppression;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Mining Workshops (ICDMW), 2012 IEEE 12th International Conference on

Conference_Location

Brussels

Print_ISBN

978-1-4673-5164-5

Type

conf

DOI

10.1109/ICDMW.2012.19

Filename

6406462