Title :
Mining vehicular data in VANET
Author :
Gongjun Yan ; Rawat, Danda B. ; Bista, Bhed Bahadur ; Alnusair, Awny
Author_Institution :
Univ. of Southern Indiana, Evansville, IN, USA
Abstract :
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.
Keywords :
data mining; mobile computing; road vehicles; traffic engineering computing; vehicular ad hoc networks; VANET; data mining model; vehicular data mining; vehicular network; Computational modeling; Data mining; Data models; Logistics; Training data; Vehicles; Virtual machining; VANET; Vehicular networks; mining vehicular data; mobile computing; vehicular data classification;
Conference_Titel :
TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-2825-5
DOI :
10.1109/TENCON.2013.6718895
