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Soft Computing
Erschienen in: Soft Computing 9/2019

07.06.2018 | Focus

A “pay-how-you-drive” car insurance approach through cluster analysis

verfasst von: Maria Francesca Carfora, Fabio Martinelli, Francesco Mercaldo, Vittoria Nardone, Albina Orlando, Antonella Santone, Gigliola Vaglini

Erschienen in: Soft Computing | Ausgabe 9/2019

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Abstract

As discussed in the recent literature, several innovative car insurance concepts are proposed in order to gain advantages both for insurance companies and for drivers. In this context, the “pay-how-you-drive” paradigm is emerging, but it is not thoroughly discussed and much less implemented. In this paper, we propose an approach in order to identify the driver behavior exploring the usage of unsupervised machine learning techniques. A real-world case study is performed to evaluate the effectiveness of the proposed solution. Furthermore, we discuss how the proposed model can be adopted as risk indicator for car insurance companies.
Vorheriger Artikel A configurational approach based on geographic information systems to support decision-making process in real estate domain
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Fußnoten
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Metadaten
Titel
A “pay-how-you-drive” car insurance approach through cluster analysis
verfasst von
Maria Francesca Carfora
Fabio Martinelli
Francesco Mercaldo
Vittoria Nardone
Albina Orlando
Antonella Santone
Gigliola Vaglini
Publikationsdatum
07.06.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 9/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-018-3274-y

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