Memorias de investigación
Ponencias en congresos:
Social Network Analysis Tools in the Fight Against Fiscal fraud and Money Laundering
Año:2018
Áreas de investigación
  • Inteligencia artificial,
  • Investigación operativa
Datos
Descripción
Wealth concealment always involves covering up relationships between a taxpayer and his or her wealth or between a taxpayer and other taxpayers. We regard the fight against fraud as the discovery of hidden relationships, and we use social network analysis (SNA) to address the risk analysis of wealth concealment. Relationships can be concealed through the interposition of front men and networks of interposed companies possibly located in tax havens. Their discovery is one of the main challenges in the fight against corruption and money laundering. Traditional risk analysis systems are insufficient to combat this, since fraudsters do not advertise their wealth. Risk detection and selection must combine multivariate statistics techniques with social network analysis and machine learning techniques and should not only detect criminals but also recognize and detect fraud patterns. We report the data of research carried out to combat these forms of financial crime using for the first time the totality of tax authority (AEAT) data.
Internacional
Si
Nombre congreso
15th International Conference on Modeling Decisions for Artificial Intelligenc
Tipo de participación
960
Lugar del congreso
Islas Baleares, España
Revisores
Si
ISBN o ISSN
978-84-09-05005-5
DOI
Fecha inicio congreso
15/10/2018
Fecha fin congreso
18/10/2018
Desde la página
226
Hasta la página
237
Título de las actas
Proceedings of the 15th International Conference on Modeling Decisions for Artificial Intelligence
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de análisis de decisiones y estadística
  • Departamento: Inteligencia Artificial