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.

SNIPER: A Data Mining Methodology for Fiscal Fraud Detection

Basta S;Giannotti F;Manco G;
2009

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.
2009
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Data Mining
Fiscal Fraud Detection
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/36627
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