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The use of Big Data and Artificial Intelligence: to prevent and detect fraud

Bibliographic Details
Main Author: Ramos, José Ricardo Marcondes
Publication Date: 2021
Language: por
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10316/99246
https://doi.org/10.47907/livro2021_4c4
Summary: 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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spelling 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 reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution 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
_version_ 1833602478012104704

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