Publication: Detección del fraude en seguros de automóvil mediante técnicas de Machine Learning
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2021-06-14
Defense date
2021-06-14
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Abstract
En los últimos años se ha incrementado el fraude detectado por las compañías de seguros, sobre todo en el ramo de seguro de automóvil. Por ello, se hace necesaria la adopción de una
estrategia de control y detección del fraude. Para el desarrollo de esta estrategia se
implementan numerosas técnicas estadísticas de predicción, a partir de las cuales se pretende
identificar diferentes factores vinculados a estas actividades ilícitas y cuantificar la probabilidad de aparición de fraude en los siniestros declarados por los asegurados.
En el presente trabajo se realiza un caso práctico, en el cual se implementan diferentes técnicas de Machine Learning, permitiendo realizar un análisis y predicción del fraude en las reclamaciones de seguros.
In recent years, fraud detected by insurance companies has increased, especially in the field of automobile insurance. Therefore, the adoption of a fraud control and detection strategy is necessary. For the development of this strategy, numerous statistical prediction techniques are implemented, from which it is intended to identify different factors linked to these illicit activities and quantify the probability of the appearance of fraud in claims declared by the insured. In this work, a practical case is carried out, in which different Machine Learning techniques are implemented, allowing an analysis and prediction of fraud in insurance claims.
In recent years, fraud detected by insurance companies has increased, especially in the field of automobile insurance. Therefore, the adoption of a fraud control and detection strategy is necessary. For the development of this strategy, numerous statistical prediction techniques are implemented, from which it is intended to identify different factors linked to these illicit activities and quantify the probability of the appearance of fraud in claims declared by the insured. In this work, a practical case is carried out, in which different Machine Learning techniques are implemented, allowing an analysis and prediction of fraud in insurance claims.
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Keywords
Fraude, Seguro de automóviles, Técnicas estadísticas, Predicción, Fraud, Car insurance, Statistical techniques, Prediction