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A KDD Process for Discrimination Discovery

  • Salvatore Ruggieri
  • Franco Turini
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9853)

Abstract

The acceptance of analytical methods for discrimination discovery by practitioners and legal scholars can be only achieved if the data mining and machine learning communities will be able to provide case studies, methodological refinements, and the consolidation of a KDD process. We summarize here an approach along these directions.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Dipartimento di InformaticaUniversità di PisaPisaItaly

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