I am at SAS Institute Pte Ltd, working on SAS® Analytics (mostly in security intelligence) for customers. In my free time, I volunteer professional services to events, conferences, and journals (related to data mining/analytics, security and health informatics). Was also part of teams which won some analytics competitions.
- mail me at 20 Anson Road, Level 8, Twenty Anson, Singapore 079912
- email me at clif...@sas.com to exchange knowledge on analytics, events, and competitions
- connect with me at LinkedIn or Google Scholar if we know each other professionally
- access SAS SSL VPN (Intranet) or Outlook Web App (Email) if you are SAS staff
Previously, my role was a data scientist at the Data Analytics Department (DAD) (formerly known as Data Mining Department), under Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore.
My analytics experience acquired there includes web monitoring of companies and technologies, assistive technology for people with dementia, and mobile phone activity recognition. I also worked on real-world, energy-related, analytics projects to improve parts of the smart grid and other Big Data applications.
Together with my collaborators, we had published a few technical papers on various industry applications of data mining/analytics, such as fraud detection and activity recognition; and my favorite analytics tools at that time included R, WEKA, and MySQL.
Prior to I2R, I was a research fellow at the Data Mining Laboratory, Department of Industrial Engineering, Seoul National University, South Korea. My PhD (on identity crime detection) and bachelor's (first class honors) degrees are from Clayton School of Information Technology, Monash University, Australia.
Editorial Board Member, Big Data Journal, International Journal of Cyber Warfare and Terrorism (IJCWT)
Program Committee Member, IEEE International Conference on Big Data (IEEE BigData 2014), Joint Intelligence and Security Informatics Conference (JISIC 2014), IEEE/WIC/ACM International Conference on Web Intelligence (WI 2014), International Symposium on Foundations of Open Source Intelligence and Security Informatics (FOSINT-SI 2014), Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014)
Sponsorship Co-Chair, International Conference on Smart Home and Health Telematics (ICOST 2013)
Program Committee Co-Chair, Data Mining Applications in Industry and Government (DMApps 2013) Workshop
Program Committee Member, IEEE International Conference on Technologies for Homeland Security (HST 2013), IEEE/WIC/ACM International Conference on Web Intelligence (WI 2013), IEEE International Conference on Big Data (IEEE BigData 2013), IEEE Intelligence and Security Informatics (ISI 2013) Conference, European Intelligence and Security Informatics Conference (EISIC 2013), Australasian Data Mining (AusDM 2013) Conference, International Symposium on Foundations of Open Source Intelligence and Security Informatics (FOSINT-SI 2013), International Workshop on Smart Environments and Ambient Intelligence (SENAmI 2013)
Phua, C., Ji, J., Chng, K. and Lee, Y. (2013). Four Steps to Visual Analytics for Cyber Security. Proc. of VAST13. [paper][presentation][video] - SAS Institute team has an honorable mention for intriguing visualization in VAST Challenge 2013 Mini-Challenge 3 on Cyber Security.
Conort, X., Chua, H., Cao, H., Phua, C. and Yap, G. (2013). Big Data Analytics for Flight Arrival Time Prediction. [Kaggle][GE Reports][MIT Technology Review][GigaOM][KDNuggets][Txchnologist][The Straits Times][AsiaOne][A*STAR Honours & Accolades 2013] - Gxav & * team is the champion (out of more than 170 teams) in GE Flight Quest Phase 1 Competition.
Phua, C., Cheu, E., Yap, G., Sim, K. and Nguyen, M. (2012). Feature Engineering for Click Fraud Detection. Proc. of ACML12 Workshop on Fraud Detection in Mobile Advertising. [paper][poster][presentation][feature list][click fraud data][A*STAR news][The Straits Times] - starrystarrynight team is the champion (out of 95 teams) in Fraud Detection in Mobile Advertising (FDMA) Competition.
Cao, H., Tiong, W., Phua, C., Kng, V. and Alba, M. (2012). Liveliness: Helping Cities Identify Ambience In Any Location. [presentation] - Liveliness team is one of the winning teams (out of 30 teams) in Urban Prototyping (UP) Singapore Weekend Competition.
Oentaryo, R., Lim, E., Zhu, F., Lo, D., Finegold, M., Phua, C., Cheu, E., Yap, G., Sim, K., Nguyen, M., Perera, K., Neupane, B., Faisal, M., Aung, Z., Woon, W., Chen, W., Patel, D. and Berrar, D. (2014). Detecting Fraudulent Patterns in Online Advertising: A Data Mining Approach. Journal of Machine Learning Research, in press. [pdf]
Aloulou, H., Mokhtari, M., Tiberghien, T., Biswas, J., Phua, C., Lin, K. and Yap, P. (2013). Deployment of Assistive Living Technology in a Nursing Home Environment: Methods and Lessons Learned. BMC Medical Informatics and Decision Making, 13: 42. [pdf]
Phua, C., Smith-Miles, K., Lee, V. and Gayler, R. (2012). Resilient Identity Crime Detection. IEEE Transactions on Knowledge and Data Engineering, 24(3): pp. 533-546. [pdf][bib][Papers which have plagiarized Resilient Identity Crime Detection]
Please see Complete List of Publications by Projects.
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