Weng-Keen Wong
Biography
Kuala Lumpur, Malaysia -> Vancouver, British Columbia -> Pittsburgh, Pennsylvania
Research Interests
Disease outbreak detection, Anomaly detection, Spatial statistics, Bayes Net structure learning, Reinforcement learning
Tags
Applications, Bayesian Networks, Biosurveillance, Clustering, Reinforcement Learning, WSARE
Papers
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Efficient Analytics for Effective Monitoring of Biomedical Security
(2005)
-
Bayesian Network Anomaly Pattern Detection for Disease Outbreaks
(2003)
Handles temporal trends in data by replacing the baseline of WSARE 2.0 with a baseline generated by a Bayesian network. -
What's Strange About Recent Events
(2003)
A shorter paper on WSARE that was submitted to the Journal of Urban Health -
Optimal Reinsertion: A new search operator for accelerated and more accurate Bayesian network structure learning
(2003)
Very aggressive but computationally efficient search steps for Bayes net learning. -
Efficient Algorithms for Non-Parametric Clustering with Clutter
(2002)
Finding and counting the high density regions in spatial data. -
Rule-based Anomaly Pattern Detection for Detecting Disease Outbreaks
(2002)
Answering the question: "What's Strange About Recent Events?" -
Distributed Value Functions
(1999)
Distributed Reinforcement learning for applications such a power grids
Software
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Cuevas CFF Clustering
Cuevas uses the 2-step CFF algorithm to perform clustering against a noisy background. -
WSARE
This program takes as input a date-indexed biosurveillance data stream such as Emergency Department data, and looks for recent strange events. -
Bayes Net Learner
This program learns Bayesian network structure from categorical data.