Association rule mining for identification of port state control patterns in Malaysian ports

References

• Bhatt, U., and P. Patel. 2015. “A Novel Approach for Finding Rare Items Based on Multiple Minimum Support Framework.” Procedia Computer Science 57: 1088–1095. doi:https://doi.org/10.1016/j.procs.2015.07.391.
   Google Scholar
• Cariou, P., M. Q. Mejia, and F. C. Wolff. 2008. “On the Effectiveness of Port State Control Inspections.” Transportation Research Part E: Logistics and Transportation Review 44 (3): 491–503. doi:https://doi.org/10.1016/j.tre.2006.11.005.
   Web of Science ®Google Scholar
• Chen, J., S. Zhang, X. Lang, Z. Wan, Y. Fei, and T. Zheng. 2019. “Identification of Key Factors of Ship Detention under Port State Control.” Marine Policy 102: 21–27. doi:https://doi.org/10.1016/j.marpol.2018.12.020.
   Web of Science ®Google Scholar
• Cheung, Y. L., and A. W. C. Fu. 2004. “Mining Frequent Itemsets without Support Threshold: With and without Item Constraints.” IEEE Transactions on Knowledge and Data Engineering. doi:https://doi.org/10.1109/TKDE.2004.44.
   Web of Science ®Google Scholar
• Chung, W.-H., S.-L. Kao, C.-M. Chang, and -C.-C. Yuan. 2020. “Association Rule Learning to Improve Deficiency Inspection in Port State Control.” Maritime Policy & Management 47 (3): 332–351. doi:https://doi.org/10.1080/03088839.2019.1688877.
   Web of Science ®Google Scholar
• Dahbi, A., Y. Balouki, and T. Gadi. 2018. “Using Multiple Minimum Support to Auto-Adjust the Threshold of Support in Apriori Algorithm.” Advances in Intelligent Systems and Computing. doi:https://doi.org/10.1007/978-3-319-76357-6_11.
   Google Scholar
• Emecen Kara, E. G., and O. Oksas. 2016. “A Comparative Analysis of Regional Agreements on Port State Control.” American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS) 18: 259–270.
   Google Scholar
• Hahsler, M., and S. Chelluboina. 2011. “Visualizing Association Rules: Introduction to the R-Extension Package ArulesViz.” R Project Module 223–238.
   Google Scholar
• International Maritime Organization. 2017. “Procedure for Port State Control, 2017.” http://www.imo.org/en/KnowledgeCentre/IndexofIMOResolutions/Assembly/Documents/A.1119%2830%29.pdf
   Google Scholar
• International Maritime Organization. “Port State Control.” http://www.imo.org/en/OurWork/MSAS/Pages/PortStateControl.aspx
   Google Scholar
• Jihong, C., W. Zhang, L. Sifan, F. Zhang, Y. Zhu, and X. Huang. 2018. “Identifying Critical Factors of Oil Spill in the Tanker Shipping Industry Worldwide.” Journal of Cleaner Production. doi:https://doi.org/10.1016/j.jclepro.2017.12.238.
   Web of Science ®Google Scholar
• Kuo, R. J., C. M. Chao, and Y. T. Chiu. 2011. “Application of Particle Swarm Optimization to Association Rule Mining.” Applied Soft Computing Journal. doi:https://doi.org/10.1016/j.asoc.2009.11.023.
   Web of Science ®Google Scholar
• Mansell, J. 2009. “Port State Control in the Asia-Pacific Region: Issues and Challenges.” Australian Journal of Maritime and Ocean Affairs 1 (3): 73–87. doi:https://doi.org/10.1080/18366503.2009.10815641.
   Google Scholar
• Rakesh, A., T. Imieliński, and A. Swami. 1993. “Mining Association Rules between Sets of Items in Large Databases.” In. doi:https://doi.org/10.1145/170035.170072.
   Google Scholar
• Ravira, F. J., and F. Piniella. 2016. “Evaluating the Impact of PSC Inspectors’ Professional Profile: A Case Study of the Spanish Maritime Administration.” WMU Journal of Maritime Affairs 15 (2): 221–236. doi:https://doi.org/10.1007/s13437-015-0096-y.
   Google Scholar
• Tsou, M.-C. 2019. “Big Data Analysis of Port State Control Ship Detention Database.” Journal of Marine Engineering and Technology 18 (3): 113–121. doi:https://doi.org/10.1080/20464177.2018.1505029.
   Web of Science ®Google Scholar
• Wang, S., R. Yan, and X. Qu. 2019. “Development of a Non-Parametric Classifier: Effective Identification, Algorithm, and Applications in Port State Control for Maritime Transportation.” Transportation Research Part B: Methodological 128: 129–157. doi:https://doi.org/10.1016/j.trb.2019.07.017.
   Web of Science ®Google Scholar
• Xiao, Y., G. Wang, K. C. Lin, Q. Guanqiu, and K. X. Li. 2020. “The Effectiveness of the New Inspection Regime for Port State Control: Application of the Tokyo MoU.” Marine Policy. doi:https://doi.org/10.1016/j.marpol.2020.103857.
   Web of Science ®Google Scholar
• Yang, Z., Z. Yang, J. Yin, and Z. Qu. 2018a. “Realising Advanced Risk-Based Port State Control Inspection Using Data-Driven Bayesian Networks.” Transportation Research Part A: Policy and Practice 118: 477–495. doi:https://doi.org/10.1016/j.tra.2018.01.033.
   Web of Science ®Google Scholar
• Yang, Z., Z. Yang, J. Yin, and Q. Zhuohua. 2018b. “A Risk-Based Game Model for Rational Inspections in Port State Control.” Transportation Research Part E: Logistics and Transportation Review. doi:https://doi.org/10.1016/j.tre.2018.08.001.
   Web of Science ®Google Scholar