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Internet of Everything. Second EAI International Conference, IoECon 2023, Guimarães, Portugal, September 28-29, 2023, Proceedings

Research Article

Machine Learning for Insurance Fraud Detection

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-51572-9_5,
        author={Maria Chousa Santos and Teresa Pereira and Isabel Mendes and Ant\^{o}nio Amaral},
        title={Machine Learning for Insurance Fraud Detection},
        proceedings={Internet of Everything. Second EAI International Conference, IoECon 2023, Guimar\"{a}es, Portugal, September 28-29, 2023, Proceedings},
        proceedings_a={IOECON},
        year={2024},
        month={2},
        keywords={Insurance Fraud Machine Learning-IoE Artificial Intelligence},
        doi={10.1007/978-3-031-51572-9_5}
    }
    
  • Maria Chousa Santos
    Teresa Pereira
    Isabel Mendes
    António Amaral
    Year: 2024
    Machine Learning for Insurance Fraud Detection
    IOECON
    Springer
    DOI: 10.1007/978-3-031-51572-9_5
Maria Chousa Santos,*, Teresa Pereira1, Isabel Mendes2, António Amaral
  • 1: School of Engineering (DIS)
  • 2: School of Technology and Management (ESTGA)
*Contact email: a89166@alunos.uminho.pt

Abstract

Fraudulent activities are a complex problem, and still evolve in a continual basis in all company sectors. These activities are considered as one of the major difficulties the insurance companies have to deal with on a daily basis. Thus, insurers are looking for ways to effectively manage, control, and mitigate fraud. In addition, improving profits by minimizing fraud is the main goal. The exponential amount of information collected, and the technology evolvement has been a strategy to address frauds. The Internet of Everything enables organizations to access diverse information’s resources through the interconnection of people-to-machines, which involves machines, data and people, contributing to increase their knowledge and intelligence. In the world of technology, Machine Learning has been widely implemented in multiple contexts. The insurers companies start using Machine Learning to support the detection of fraudulent complaints through the application of algorithms aimed to find patterns in a database, which are hidden through a large amount of data. This paper intends to present the use of Machine Learning technology to support the insurers companies to detect fraudulent activities and further analyze the impacts of technology in people and thus enable to achieve a more rapid and accurate information.

Keywords
Insurance Fraud Machine Learning-IoE Artificial Intelligence
Published
2024-02-01
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-51572-9_5
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