Interesting-based association rules for highway traffic data

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.

[1]  Mohammad Hossein Fazel Zarandi,et al.  Application of Rough Set Theory in Data Mining for Decision Support Systems (DSSs) , 2008 .

[2]  Z. Pawlak Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .

[3]  Jianmin Xu,et al.  Studies on the Application of Rough Set Analysis in Mining of Association Rules and the Realization in Provincial Road Transportation Management Information System , 2012, 2012 International Conference on Industrial Control and Electronics Engineering.

[4]  Rui Tian,et al.  Method of Road Traffic Accidents Causes Analysis Based on Data Mining , 2010, 2010 International Conference on Computational Intelligence and Software Engineering.

[5]  Howard J. Hamilton,et al.  Interestingness measures for data mining: A survey , 2006, CSUR.

[6]  Janusz Zalewski,et al.  Rough sets: Theoretical aspects of reasoning about data , 1996 .

[7]  Jiang Hong-bo,et al.  Application Research on Fast Discovery of Association Rules Based on Air Transportation , 2007, 2007 International Conference on Service Systems and Service Management.

[8]  Francisca Nonyelum Traffic Accident Data Profiling and Clusteringwith Data Mining Process , 2012 .

[9]  Kaan Manga Sibar Currency Crises Prediction with Rough Set Theory , 2011 .

[10]  M Nordin A Rahman,et al.  APPLYING ROUGH SET THEORY IN MULTIMEDIA DATA CLASSIFICATION , 2011 .

[11]  He Jiang,et al.  Mining Weighted Negative Association Rules Based on Correlation from Infrequent Items , 2009, 2009 International Conference on Advanced Computer Control.