Weng-Keen Wong

wkw@cs.cmu.edu

Graduate Student

My Website

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

• 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

• 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.