文章基本信息

标题：Identification Using Telematics: An Algorithm to Identify Dwell Locations
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作者：Christopher Grumiau ; Mina Mostoufi ; Solon Pavlioglou 等
期刊名称：Risks
印刷版ISSN：2227-9091
出版年度：2020
卷号：8
期号：92
页码：92
DOI：10.3390/risks8030092
语种：English
出版社：MDPI, Open Access Journal
摘要：In this work, a method is proposed for exploiting the predictive power of a geo-tagged dataset as a means of identification of user-relevant points of interest (POI). The proposed methodology is subsequently applied in an insurance context for the automatic identification of a driver’s residence address, solely based on his pattern of movements on the map. The analysis is performed on a real-life telematics dataset. We have anonymized the considered dataset for the purpose of this study to respect privacy regulations. The model performance is evaluated based on an independent batch of the dataset for which the address is known to be correct. The model is capable of predicting the residence postal code of the user with a high level of accuracy, with an f1 score of 0.83. A reliable result of the proposed method could generate benefits beyond the area of fraud, such as general data quality inspections, one-click quotations, and better-targeted marketing.
关键词：telematics;address identification;POI;machine learning;mean shift clustering;DBSCAN clustering;fraud detection