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Transactions on Computer Science and Technology

Transactions on Computer Science and Technology is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of computer science theory and technology application on the combination of computer science and modern industrial technology. The main focus of the journal is the academic papers and comments of latest power electronics theoretical and technical research improvement in the fields of nature s... [More] Transactions on Computer Science and Technology is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of computer science theory and technology application on the combination of computer science and modern industrial technology. The main focus of the journal is the academic papers and comments of latest power electronics theoretical and technical research improvement in the fields of nature science, engineering technology, economy and science, report of latest research result, aiming at providing a good communication platform to transfer, share and discuss the theoretical and technical development of computer science theory and technology development for professionals, scholars and researchers in this field, reflecting the academic front level, promote academic change and foster the rapid expansion of computer science theory and application technology.

The journal receives manuscripts written in Chinese or English. As for Chinese papers, the following items in English are indispensible parts of the paper: paper title, author(s), author(s)'affiliation(s), abstract and keywords. If this is the first time you contribute an article to the journal, please format your manuscript as per the sample paper and then submit it into the online submission system. Accepted papers will immediately appear online followed by printed hard copies by Ivy Publisher globally. Therefore, the contributions should not be related to secret. The author takes sole responsibility for his views.

ISSN Print:2327-090X

ISSN Online:2327-0918

Email:cst@ivypub.org

Website: http://www.ivypub.org/cst/

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Paper Infomation

A Study of Identification of Driver Behavior Risk Based on SVM

Full Text(PDF, 363KB)

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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