1. Machine learning algorithms for event detection

   • Dragos Margineantu
   • Weng-Keen Wong
   • Denver Dash

   Editorial 23 April 2010 Pages: 257 - 259

2. A multivariate Bayesian scan statistic for early event detection and characterization

   • Daniel B. Neill
   • Gregory F. Cooper

   OriginalPaper 13 November 2009 Pages: 261 - 282

3. Fast adaptive algorithms for abrupt change detection

   • Daniel Nikovski
   • Ankur Jain

   OriginalPaper 16 July 2009 Pages: 283 - 306

4. Increasing coverage to improve detection of network and host anomalies

   • Gaurav Tandon
   • Philip K. Chan

   OriginalPaper 13 November 2009 Pages: 307 - 334

5. Learning to detect incidents from noisily labeled data

   • Tomáš Šingliar
   • Miloš Hauskrecht

   OriginalPaper 30 September 2009 Pages: 335 - 354