Predictive Fraud Analysis Applying the Fraud Triangle Theory through Data Mining Techniques

Autor: Marco Sánchez-Aguayo, Luis Urquiza-Aguiar, José Estrada-Jiménez

Publikováno v: Applied Sciences, Vol 12, Iss 7, p 3382 (2022)

Fraud is increasingly common, and so are the losses caused by this phenomenon. There is, thus, an essential economic incentive to study this problem, particularly fraud prevention. One barrier complicating the research in this direction is the lack o

Externí odkaz: https://doaj.org/article/8397767eeed8405f8fe6d2e9223aeb9a

A measurement study of online tracking and advertising in Ibero-America

Autor: Jordi Forné, Esteve Pallares-Segarra, Ana Rodriguez-Hoyos, José Estrada-Jiménez, Javier Parra-Arnau

Publikováno v: IEEE Access, 9, 80996-81007
IEEE Access, Vol 9, Pp 80996-81007 (2021)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

This research work is part of J. Estrada-Jiménez's Ph.D. thesis The ability of the online marketing industry to track and pro le users' Web-browsing activity is what enables effective, tailored-made advertising services. The intrusiveness of these p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cde631e0ca85988325de19d810b2162
https://hdl.handle.net/2117/354280

The Fast Maximum Distance to Average Vector (F-MDAV): an algorithm for k-Anonymous microaggregation in big data

Autor: Ana Rodriguez-Hoyos, David Rebollo-Monedero, Javier Parra-Arnau, José Estrada-Jiménez, Jordi Forné, Ahmad Mohamad Mezher

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

© Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ The massive exploitation of tons of data is currently guiding critical decisions in domains such as economics o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98859567498a0e27efaf649c77ad3ea6
https://hdl.handle.net/2117/178139

Fraud Detection Using the Fraud Triangle Theory and Data Mining Techniques: A Literature Review

Autor: José Estrada-Jiménez, Marco Sánchez-Aguayo, Luis Urquiza-Aguiar

Publikováno v: Computers, Vol 10, Iss 121, p 121 (2021)

Fraud entails deception in order to obtain illegal gains; thus, it is mainly evidenced within financial institutions and is a matter of general interest. The problem is particularly complex, since perpetrators of fraud could belong to any position, f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b951639567600626766d8c25e468eb4
https://doi.org/10.3390/computers10100121

Preserving empirical data utility in k-anonymous microaggregation via linear discriminant analysis

Autor: José Estrada-Jiménez, Jordi Forné, Ana Rodriguez-Hoyos, David Rebollo-Monedero, Luis Urquiza-Aguiar

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

© . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ Today’s countless benefits of exploiting data come with a hefty price in terms of privacy. -Anonymous microaggregatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed3e8ec33b44027b0195cbbda810adfc
https://doi.org/10.1016/j.engappai.2020.103787