Ph.D., Nanyang Technological University, Singapore
Membership of professional associations
In recent years, his research has evolved, spanning across disciplines, and extended to the application of data analytics and methodologies to solve problems in various domains. These include working with health researchers in deploying data capture and analytics capabilities within their research studies, using analytics for bridge deterioration modelling and also using analytics to improve the community well being. His work on using analytics to improve the community well being was recently featured by the European Commission in Science for Environmental Policy and one of its papers has since received an Altmetric score of 9 putting it in the 86th percentile of articles of the same age. Besides chairing a number of workshops and conferences, Kok-Leong has served in over 50 program committees and reviewed over 20 journal articles since 2004. He is currently a Steering Committee member of the Australasian Data Mining Conference and a special section editor for Business Analytics in the Australasian Journal of Information Systems (ABDC A). Kok-Leong has over 361 citations to his papers to date and has an h-index and i10-index of 10 and 12 respectively.
- Data mining; pattern recognition
Visual Analytics (BUS5VA); Analytics in Practice (BUS5AP); Analytics Projects 1 and 2 (BUS5PR1/BUS5PR2)
Moayedikia, A., Ong, K. -L., Boo, Y. L., Yeoh, W. G. S., & Jensen, R. (2017). Feature selection for high dimensional imbalanced class data using harmony search. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 57, 38-49. doi:10.1016/j.engappai.2016.10.008
Ong, K. -L. (2017). Can an incentive-based intervention increase physical activity and reduce sitting among adults? the ACHIEVE (Active Choices IncEntiVE) feasibility study. International Journal of Behavioral Nutrition and Physical Activity, 14(35). doi:10.1186/s12966-017-0490-2
Ong, K. -L., De Silva, D., Boo, Y. L., Lim, E. H., Bodi, F., Alahakoon, D., & Leao, S. (2016). Big Data Applications in Engineering and Science. In S. Yu, & S. Guo (Eds.), Big Data Concepts, Theories, and Applications (pp. 315-352). New York: Springer. doi:10.1007/978-3-319-27763-9_9
Ong, K. -L., Goscinski, A., Han, Y. Z., Brezany, P., Tari, Z., & Yan, L. (2016). SSC: cloud-based data stream management in distributed environments. International Journal of High Performance Computing and Networking, 9(3), 171-189. doi:10.1504/IJHPCN.2016.076250
Ong, K. -L., Laws, R., Litterbach, E., Denney-Wilson, E., Russell, C., Taki, S., . . . Campbell, K. (2016). A Comparison of Recruitment Methods for an mHealth Intervention Targeting Mothers: Lessons from the Growing Healthy Program. Journal of Medical Internet Research, 18(9), 1-15. doi:10.2196/jmir.5691
Carey, D. L., Blanch, P., Ong, K. L., Crossley, K. M., Crow, J., & Morris, M. E. (2016). Training loads and injury risk in Australian football-differing acute: Chronic workload ratios influence match injury risk. British Journal of Sports Medicine. doi:10.1136/bjsports-2016-096309
Vitartas, P., Ahmed, T., Alahakoon, D., Midford, S., Nathawitharana, N., Ong, K., & Sullivan Mort, G. (2016). Using learning analytics to guide learning: an analysis of marketing assignments. In D. Fortin, & L. Ozanne (Eds.), Marketing in a Post-Disciplinary Era (pp. 623-629). Christchurch: Proceedings of the Australian and New Zealand Marketing Academy Conference (ANZMAC). Retrieved from http://www.mang.canterbury.ac.nz/ANZMAC/ANZMAC%20proceedings%202016.pdf
Vitartas, P., Heath, J., Midford, S., Ong, K., Alahakoon, D., & Sullivan Mort, G. (2016). Applications of Automatic Writing Evaluation to Guide the Understanding of Learning and Teaching. In S. Barker, S. Dawson, A. Pardo, & C. Colvin (Eds.), Show Me The Learning (pp. 592-601). Adelaide: Australasian Society for Computers in Learning in Tertiary Education.
Laws, R. A., Litterbach, E. -K. V., Denney-Wilson, E. A., Russell, C. G., Taki, S., Ong, K. -L., . . . Campbell, K. J. (2016). A Comparison of Recruitment Methods for an mHealth Intervention Targeting Mothers: Lessons from the Growing Healthy Program. Journal of Medical Internet Research, 18(9), 1-15. doi:10.2196/jmir.5691
Carey, D. L., Ong, K., Morris, M. E., Crow, J., & Crossley, K. M. (2016). Predicting ratings of perceived exertion in Australian football players: Methods for live estimation. International Journal of Computer Science in Sport, 15(2), 64-77. doi:10.1515/ijcss-2016-0005
A. Moayedikia., K. L. Ong., Y. L. Boo., & W. Yeoh. (2016). Bee Colony Based Worker Reliability Estimation Algorithm in Microtask Crowdsourcing. In 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 713-717). Anaheim, California.