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A multidisciplinary survey on discrimination analysis

Published online by Cambridge University Press:  03 April 2013

Andrea Romei  and
Salvatore Ruggieri
Andrea Romei
Affiliation:
Dipartimento di Informatica, Università di Pisa, Largo B. Pontecorvo 3, 56127 Pisa, Italy; e-mail: [email protected], [email protected]
Salvatore Ruggieri
Affiliation:
Dipartimento di Informatica, Università di Pisa, Largo B. Pontecorvo 3, 56127 Pisa, Italy; e-mail: [email protected], [email protected]
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Abstract

The collection and analysis of observational and experimental data represent the main tools for assessing the presence, the extent, the nature, and the trend of discrimination phenomena. Data analysis techniques have been proposed in the last 50 years in the economic, legal, statistical, and, recently, in the data mining literature. This is not surprising, since discrimination analysis is a multidisciplinary problem, involving sociological causes, legal argumentations, economic models, statistical techniques, and computational issues. The objective of this survey is to provide a guidance and a glue for researchers and anti-discrimination data analysts on concepts, problems, application areas, datasets, methods, and approaches from a multidisciplinary perspective. We organize the approaches according to their method of data collection as observational, quasi-experimental, and experimental studies. A fourth line of recently blooming research on knowledge discovery based methods is also covered. Observational methods are further categorized on the basis of their application context: labor economics, social profiling, consumer markets, and others.

Type
Articles
Information
The Knowledge Engineering Review , Volume 29 , Issue 5 , November 2014 , pp. 582 - 638
Copyright
Copyright © Cambridge University Press 2013 

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