• DocumentCode
    3742351
  • Title

    Interesting-based association rules for highway traffic data

  • Author

    Pannawat Sriratna;Pakorn Leesutthipornchai

  • Author_Institution
    Department of Computer Science, Faculty of Science and Technology, Thammasat University, Pathumthani, Thailand
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Highway no.7 is the main route for transportation between Bangkok to the eastern seaboard. The eastern seaboard is the major economic region of Thailand. This paper applies theory of rough set to find the hidden relationship among date, time, entering station, exit station and vehicular traffic. The transactional data was gathered from the Division of Inter City Motorway, Department of Highways in the period of January 2014 to April 2015. The set of transactional data consists of 242,066 records. The relations in term of association rules are obtained. The original association results are numerous and difficult to select. This paper proposed the interesting of association rules by using indicators that are generalization, leverage, coverage and lift. The association rules with indicator values are compared and discussed.
  • Keywords
    "Road transportation","Association rules","Automobiles","Set theory","Accidents"
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Engineering Conference (ICSEC), 2015 International
  • Type

    conf

  • DOI
    10.1109/ICSEC.2015.7401413
  • Filename
    7401413