The data mining and machine learning techniques for identifying fraud using private transport app

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dc.contributor.authorPracidelli L.
dc.contributor.authorLopes F.
dc.date.accessioned2024-03-12T23:49:29Z
dc.date.available2024-03-12T23:49:29Z
dc.date.issued2020
dc.description.abstract© 2020 WMSCI 2020 - 24th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings. All rights reserved.Fraud can be defined as an illicit activity applied with the intention of obtaining financial benefits without considering the consequences of this act. With the digital transformation over the years and the recent expansion made possible by the use of different applications, we can see a significant change of various businesses and the diversification of electronic payments that contributed to companies suffering even more from fraud, as well as the increase in credit card payments that contributed to this growth. The objective of this dissertation was to propose a fraud detection based on the identification of behavioral patterns in the race bases of an application transport company and to consider the construction of artifact that can minimize the problem using unsupervised and supervised algorithms based on machine learning techniques.
dc.description.firstpage84
dc.description.lastpage89
dc.description.volume1
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/35065
dc.relation.ispartofWMSCI 2020 - 24th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings
dc.rightsAcesso Restrito
dc.subject.otherlanguageData mining
dc.subject.otherlanguageFraud identification
dc.subject.otherlanguageMachine learning
dc.subject.otherlanguagePrivate transport by app
dc.titleThe data mining and machine learning techniques for identifying fraud using private transport app
dc.typeArtigo de evento
local.scopus.citations0
local.scopus.eid2-s2.0-85096548055
local.scopus.subjectBehavioral patterns
local.scopus.subjectCredit card payment
local.scopus.subjectDigital transformation
local.scopus.subjectElectronic payment
local.scopus.subjectFinancial benefits
local.scopus.subjectMachine learning techniques
local.scopus.subjectSupervised algorithm
local.scopus.subjectTransport companies
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85096548055&origin=inward
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