A study of top-k measures for discrimination discovery (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• A study of top-k measures for discrimination discovery (Contributo in atti di convegno) (literal)

Anno

• 2012-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1145/2245276.2245303 (literal)

Alternative label

• Pedreschi D., Ruggieri S., Turini F. (2012)
  A study of top-k measures for discrimination discovery
  in 27th Annual ACM Symposium on Applied Computing, Riva del Garda (Trento), Italy, 26-30 March 2012
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Pedreschi D., Ruggieri S., Turini F. (literal)

Pagina inizio

• 126 (literal)

Pagina fine

• 131 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://dl.acm.org/citation.cfm?id=2245303 (literal)

Note

• PuMa (literal)
• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Computer Science Department, University of Pisa, Italy; Computer Science Department, University of Pisa, Italy; Computer Science Department, University of Pisa, Italy (literal)

Titolo

• A study of top-k measures for discrimination discovery (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 978-1-4503-0857-1 (literal)

Abstract

• Data mining approaches for discrimination discovery unveil contexts of possible discrimination against protected-by-law groups by extracting classication rules from a dataset of historical decision records. Rules are ranked according to some legally-grounded contrast measure dened over a 4- fold contingency table, including risk difference, risk ratio, odds ratio, and a few others. Due to time and cost con- straints, however, only the top-k ranked rules are taken into further consideration by an anti-discrimination analyst. In this paper, we study to what extent the sets of top-k ranked rules with respect to any two pairs of measures agree (literal)

Editore

• ACM Press (Editore)

Prodotto di

• Knowledge Discovery and Data Mining (ICT.P08.009.003) (Modulo)
• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)

Autore CNR

• DINO PEDRESCHI (Persona)

Insieme di parole chiave

• Parole chiave di "A study of top-k measures for discrimination discovery" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Knowledge Discovery and Data Mining (ICT.P08.009.003) (Modulo)

Autore CNR di

• DINO PEDRESCHI (Persona)

Editore di

• ACM Press (Editore)

Insieme di parole chiave di

• Parole chiave di "A study of top-k measures for discrimination discovery" (Insieme di parole chiave)