The use of Big Data and Artificial Intelligence: to prevent and detect fraud
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Idioma: | por |
Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Texto Completo: | https://hdl.handle.net/10316/99246 https://doi.org/10.47907/livro2021_4c4 |
Resumo: | The development and increased adoption of different IT trends is fostering the evolution and application of Big Data and Artificial In- telligence in many contexts of society and different business sectors. The financial services are the leading field in investment in advanced technology for continuous monitoring, transaction analysis, anomaly detection, data review, pattern recognition and other emerging tech- niques. In this article, we are going to analyse the role played by Big Data and artificial intelligence for fraud detection, analysing algori- thms applied to prevent and detect payment frauds and the use of these techniques in the context of corporate fraud and investigations against financial statement frauds. |
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The use of Big Data and Artificial Intelligence: to prevent and detect fraudbig dataartificial intelligencedata miningfraud detectionfraud preventionforesinc accountingThe development and increased adoption of different IT trends is fostering the evolution and application of Big Data and Artificial In- telligence in many contexts of society and different business sectors. The financial services are the leading field in investment in advanced technology for continuous monitoring, transaction analysis, anomaly detection, data review, pattern recognition and other emerging tech- niques. In this article, we are going to analyse the role played by Big Data and artificial intelligence for fraud detection, analysing algori- thms applied to prevent and detect payment frauds and the use of these techniques in the context of corporate fraud and investigations against financial statement frauds.FCTInstituto Jurídico da Faculdade de Direito da Universidade de Coimbra2021-12book partinfo:eu-repo/semantics/publishedVersionhttps://hdl.handle.net/10316/99246https://hdl.handle.net/10316/99246https://doi.org/10.47907/livro2021_4c4por978-989-9075-19-1Ramos, José Ricardo Marcondesinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-21T17:53:35Zoai:estudogeral.uc.pt:10316/99246Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T05:48:17.592470Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
The use of Big Data and Artificial Intelligence: to prevent and detect fraud |
title |
The use of Big Data and Artificial Intelligence: to prevent and detect fraud |
spellingShingle |
The use of Big Data and Artificial Intelligence: to prevent and detect fraud Ramos, José Ricardo Marcondes big data artificial intelligence data mining fraud detection fraud prevention foresinc accounting |
title_short |
The use of Big Data and Artificial Intelligence: to prevent and detect fraud |
title_full |
The use of Big Data and Artificial Intelligence: to prevent and detect fraud |
title_fullStr |
The use of Big Data and Artificial Intelligence: to prevent and detect fraud |
title_full_unstemmed |
The use of Big Data and Artificial Intelligence: to prevent and detect fraud |
title_sort |
The use of Big Data and Artificial Intelligence: to prevent and detect fraud |
author |
Ramos, José Ricardo Marcondes |
author_facet |
Ramos, José Ricardo Marcondes |
author_role |
author |
dc.contributor.author.fl_str_mv |
Ramos, José Ricardo Marcondes |
dc.subject.por.fl_str_mv |
big data artificial intelligence data mining fraud detection fraud prevention foresinc accounting |
topic |
big data artificial intelligence data mining fraud detection fraud prevention foresinc accounting |
description |
The development and increased adoption of different IT trends is fostering the evolution and application of Big Data and Artificial In- telligence in many contexts of society and different business sectors. The financial services are the leading field in investment in advanced technology for continuous monitoring, transaction analysis, anomaly detection, data review, pattern recognition and other emerging tech- niques. In this article, we are going to analyse the role played by Big Data and artificial intelligence for fraud detection, analysing algori- thms applied to prevent and detect payment frauds and the use of these techniques in the context of corporate fraud and investigations against financial statement frauds. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12 |
dc.type.driver.fl_str_mv |
book part |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10316/99246 https://hdl.handle.net/10316/99246 https://doi.org/10.47907/livro2021_4c4 |
url |
https://hdl.handle.net/10316/99246 https://doi.org/10.47907/livro2021_4c4 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
978-989-9075-19-1 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Instituto Jurídico da Faculdade de Direito da Universidade de Coimbra |
publisher.none.fl_str_mv |
Instituto Jurídico da Faculdade de Direito da Universidade de Coimbra |
dc.source.none.fl_str_mv |
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RCAAP |
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RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
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