Weng-Keen Wong
Recent Publications

• Adamou, C., Cooper, G., Wong, W.-K., Dowling, J., and Hogan, W. (2005). Modeling clinician detection time of a disease outbreak due to inhalational anthrax. Proceedings of the National Conference on Syndromic Surveillance.
• Garman, C., Wong, W.-K., and Cooper, G. (2005). The effect of inferring work location from home location in performing bayesian biosurveillance. Proceedings of the National Conference on Syndromic Surveillance.
• Shen, Y., Wong, W.-K., and Cooper, G. (2005). A generalization of the standard AMOC curve. Proceedings of the National Conference on Syndromic Surveillance.
• Wong, W.-K., and Moore, A. (2005). Bayesian network approaches to detection. In A. B. Lawson and K. Kleinman (Eds.), Spatial and syndromic surveillance for public health, 169-187. New York: John Wiley and Sons, Ltd.
• Wong, W.-K., Cooper, G., Dash, D., Levander, J., Dowling, J., Hogan, W., and Wagner, M. (2005). Use of multiple data streams to conduct bayesian biologic surveillance. In: Syndromic Surveillance: Reports from a National Conference, 2004. MMWR 2005; 54 (Suppl), 63-69.
• Wong, W.-K., Cooper, G., Dash, D., Levander, J., Dowling, J., Hogan, W., and Wagner, M. (2005). Population-wide Anomaly Detection. KDD 2005 Workshop on Data Mining Methods for Anomaly Detection (pp. 79-83).
• Cooper, G., Dash, D., Levander, J., Wong W.-K., Hogan, W., and Wagner, M. (2004). Bayesian biosurveillance of disease outbreaks. Proceedings of the Twentieth Conference of Uncertainty in Artificial Intelligence (UAI-2004) (pp. 94-103). Arlington, VA: AUAI Press.
• Wong, W.-K. (2004) Data mining for early disease outbreak detection. Doctoral dissertation, Carnegie Mellon University, Pittsburgh. pdf.
• Moore, A., and Wong, W.-K. (2003). Optimal Reinsertion: A new search operator for accelerated and more accurate Bayesian network structure learning. Proceedings of the Twentieth International Conference on Machine Learning (ICML 2003) (pp. 552-559). Menlo Park, CA: AAAI Press.
• Wong, W.-K., Moore, A., Cooper, G., and Wagner, M. (2003) Bayesian network anomaly pattern detection for disease outbreaks. Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003) (pp. 808-815). Menlo Park, California: AAAI Press.
• Wong, W.-K., and Moore, A. (2002). Efficient algorithms for non-parametric clustering with clutter. Computer Science and Statistics (pp.541-553). Fairfax Station, VA: Interface Foundation of North America, Inc.
• Wong, W.-K., Moore A.., Cooper, G., and Wagner, M. (2002). Rule-based anomaly pattern detection for detecting disease outbreaks. Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI-02) (pp. 217-223). AAAI Press.
• Schneider, J., Wong, W.-K., Moore, A., and Riedmiller, M. (1999) Distributed value functions. Proceedings of the Sixteenth International Conference on Machine Leanring (ICML-99) (pp.371-378). San Francisco, CA: Morgan Kaufmann.