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.
A KDD process for discrimination discovery
RUGGIERI, SALVATORE;TURINI, FRANCO
2016-01-01
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.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
nectar.pdf
accesso aperto
Descrizione: Articolo principale
Tipologia:
Documento in Post-print
Licenza:
Tutti i diritti riservati (All rights reserved)
Dimensione
354.56 kB
Formato
Adobe PDF
|
354.56 kB | Adobe PDF | Visualizza/Apri |
|
AKDDProcess_version_of_record.pdf
solo utenti autorizzati
Tipologia:
Versione finale editoriale
Licenza:
NON PUBBLICO - Accesso privato/ristretto
Dimensione
621.39 kB
Formato
Adobe PDF
|
621.39 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
