UPDF AI

The Challenge of Quality Evaluation in Fraud Detection

J. Puentes,Pedro Merino Laso,David Brosset

2018 · DOI: 10.1145/3228341
ACM Journal of Data and Information Quality · 1 Citations

TLDR

Why quality assessment in fraud contexts is a challenging problem is discussed and a longitudinal quality meta-analysis is argued for, relying on contextual cumulative indicators, based on data and information quality within those procedures.

Abstract

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. The Challenge of Quality Evaluation in Fraud Detection John Puentes, Pedro Merino Laso, David Brosset