• DocumentCode
    2984092
  • 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
  • fYear
    2013
  • fDate
    22-25 Oct. 2013
  • Firstpage
    1
  • Lastpage
    4
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
  • Conference_Location
    Xi´an
  • ISSN
    2159-3442
  • Print_ISBN
    978-1-4799-2825-5
  • Type

    conf

  • DOI
    10.1109/TENCON.2013.6718895
  • Filename
    6718895
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2984092