Mining Vehicular Data in VANET

被引：0

作者：

Yan, Gongjun ^{[1
]}

Rawat, Danda B. ^{[2
]}

Bista, Bhed B. ^{[3
]}

Alnusair, Awny ^{[4
]}

机构：

[1] Univ So Indiana, 8600 Univ Blvd, Evansville, IN 47712 USA

[2] Georgia So Univ, Statesboro, GA 30460 USA

[3] Iwate Prefectural Univ, Iwaki, Fukushima 0200193, Japan

[4] Indiana Univ, Kokomo 46904, Japan

来源：

2013 IEEE INTERNATIONAL CONFERENCE OF IEEE REGION 10 (TENCON) | 2013年

关键词：

Vehicular networks; mining vehicular data; vehicular data classification; VANET; mobile computing;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Vehicular networks can generate a large amount of vehicular data which are useful to both car consumers and manufacturers. In this paper we propose to collect vehicular data and to mine vehicular data by using data mining models. The experiment results shows the proposed methods are effective.

引用

页数：4

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