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
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"
Conference_Titel :
Computer Science and Engineering Conference (ICSEC), 2015 International
DOI :
10.1109/ICSEC.2015.7401413