SNIPER: A Data Mining Methodology for Fiscal Fraud Detection (Articolo in rivista)

Type
Label
  • SNIPER: A Data Mining Methodology for Fiscal Fraud Detection (Articolo in rivista) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Alternative label
  • Basta Stefano; Giannotti Fosca; Manco Giuseppe; Pedreschi Dino; Spinsanti Laura (2009)
    SNIPER: A Data Mining Methodology for Fiscal Fraud Detection
    in ERCIM news
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Basta Stefano; Giannotti Fosca; Manco Giuseppe; Pedreschi Dino; Spinsanti Laura (literal)
Pagina inizio
  • 27 (literal)
Pagina fine
  • 28 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • -78 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ICAR-CNR; ISTI-CNR; ICAR-CNR; UNIVERSITA' DI PISA; ISTI-CNR (literal)
Titolo
  • SNIPER: A Data Mining Methodology for Fiscal Fraud Detection (literal)
Abstract
  • An effective audit strategy is a key success factor for 'a posteriori' fraud detection applications in fiscal and insurance domains. 'Sniper' is an auditing methodology with a rule-based system, which is capable of dealing with conflicting issues such as maximizing audit benefits, minimizing false-positive audit predictions and deterring probable future fraud. (literal)
Prodotto di
Autore CNR

Incoming links:


Prodotto
Autore CNR di
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi
data.CNR.it