Paper Infomation
A Study of Identification of Driver Behavior Risk Based on SVM
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Author: Yaxiong Yu, Wei CHEN
Abstract: Recently, with the development of telematics technological, the auto insurance based on the telematics technology is more and more popular, the auto insurance based on UBI (Usage Based Insurance) is the typical of them. We propose that using the data mining technology to resolve the problem of the UBI auto insurance ratemaking, which relies on the identification of driver behavior risk. In this paper, we firstly review the non-linear support vector machine (SVM) classifier, then we offer some features to train the SVM classifier, we could use the trained classifier to predict the probability of driver bahavior risk. Finally based on these probability, we will be able to decide the UBI auto insurance premium for every driver.
Keywords: UBI auto insurance; Data mining; Driver behavior risk; Classifier
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