Pedreschi D., Ruggieri S., Turini F.
Discrimination H.2.8 Database Applications
Discrimination discovery from data consists in the extraction of discriminatory situations and practices hidden in a large amount of historical decision records.We discuss the challenging problems in discrimination discovery, and present, in a unified form, a framework based on classification rules extraction and filtering on the basis of legally-grounded interestingness measures. The framework is implemented in the publicly available DCUBE tool. As a running example, we use a public dataset on credit scoring.
Source: Discrimination and Privacy in the Information Society. Data Mining and Profiling in Large Databases., edited by Bart Custers, Toon Calders, Bart Schermer, Tal Zarsky, pp. 91–108. Berlin Heidelberg: Springer, 2013
Publisher: Springer, Berlin Heidelberg, DEU
@inbook{oai:it.cnr:prodotti:326454, title = {The discovery of discrimination}, author = {Pedreschi D. and Ruggieri S. and Turini F.}, publisher = {Springer, Berlin Heidelberg, DEU}, doi = {10.1007/978-3-642-30487-3_5}, booktitle = {Discrimination and Privacy in the Information Society. Data Mining and Profiling in Large Databases., edited by Bart Custers, Toon Calders, Bart Schermer, Tal Zarsky, pp. 91–108. Berlin Heidelberg: Springer, 2013}, year = {2013} }