Recent Findings from IPAG Business School Has Provided New Information about Information Technology (The Value of Cross-data Set Analysis for Automobile Insurance Fraud Detection): Information Technology

2022 DEC 07 (NewsRx) -- By a News Reporter-Staff News Editor at Network Business Daily -- Fresh data on Information Technology are presented in a new report. According to news originating from Nice, France, by NewsRx editors, the research stated, “This study focuses on personal automobile policies underwritten. Its aim is to provide decision support and to apply new models with good predictive performance and high operational effi-ciency.”

Our news journalists obtained a quote from the research from IPAG Business School, “We propose a new approach by constructing a score that evolves over the life of a claim. It consists of creating a score at the opening of a claim and another derived from the information of the first adjuster’s report. Natural language processing is also used on a textual variable relating to the description of the claim provided by the agency. The fraud score is estimated by using a gradient boosting machine (GBM) and a neural network. The results are interpreted using the local interpretable model-agnostic explanations (LIME). They show that fraud detection is improved when all the information and the textual variable are included.”

According to the news editors, the research concluded: “Furthermore, we observe that the GBM method overperforms the neural network approach.”

This research has been peer-reviewed.

For more information on this research see: The Value of Cross-data Set Analysis for Automobile Insurance Fraud Detection. Research in International Business and Finance, 2022;63:101769. Research in International Business and Finance can be contacted at: Elsevier, Radarweg 29, 1043 Nx Amsterdam, Netherlands. (Elsevier - www.elsevier.com; Research in International Business and Finance - http://www.journals.elsevier.com/research-in-international-business-and-finance/)

The news correspondents report that additional information may be obtained from Meryem Yankol-Schalck, IPAG Business School, Blvd Carabacel, F-06000 Nice, France.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.ribaf.2022.101769. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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