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González, Ignacio and Mateos Caballero, Alfonso (2018). Social network analysis tools in the fight against fiscal fraud and money laundering. In: "15th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2018)", 15-18 Oct 2018, Palma de Mallorca, España. ISBN 978-84-09-05005-5. pp. 226-237.
Title: | Social network analysis tools in the fight against fiscal fraud and money laundering |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 15th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2018) |
Event Dates: | 15-18 Oct 2018 |
Event Location: | Palma de Mallorca, España |
Title of Book: | USB Proceedings the 15th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2018) |
Date: | 2018 |
ISBN: | 978-84-09-05005-5 |
Subjects: | |
Freetext Keywords: | Tax fraud; Money laundering; SNA; Analytics; Hadoop |
Faculty: | E.T.S. de Ingenieros Informáticos (UPM) |
Department: | Inteligencia Artificial |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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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.
Type | Code | Acronym | Leader | Title |
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Government of Spain | MTM2014-56949-C3-2-R | Unspecified | Universidad Politécnica de Madrid | Apoyo a decisiones en análisis de riesgos. Seguridad operacional aérea |
Government of Spain | MTM2017-86875-C3-3-R | Unspecified | Universidad Politécnica de Madrid | Toma de decisiones multicriterio y modelos de interdependencia para la gestión de riesgos. Seguridad en ATM |
Item ID: | 54733 |
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DC Identifier: | http://oa.upm.es/54733/ |
OAI Identifier: | oai:oa.upm.es:54733 |
Official URL: | http://mayor2.dia.fi.upm.es/dasg/proceedings |
Deposited by: | Memoria Investigacion |
Deposited on: | 14 May 2019 12:04 |
Last Modified: | 14 May 2019 12:04 |