DATA MINING METHODS FOR ANOMALY DETECTION

A workshop in conjunction with KDD-2005,
Chicago, IL - August 2005


Workshop Schedule (pdf)


Workshop Notes (3.3M,pdf)


This workshop aims to explore research efforts on data mining, machine learning, and related techniques that address the problem of detecting anomalies (irregularities that cannot be explained by simple domain models and knowledge) in data. The workshop will also attempt to study the common tasks that need to be addressed in practical applications that require anomaly detection tools and algorithms, such as data collection, sampling, and pre-processing.

The main goal of this workshop is to bring together researchers and practitioners interested in anomaly detection, and to create a forum for discussing recent advances in this area, to understand better the practical challenges in developing and deploying data mining systems for anomaly detection, and to inspire research on principled methods and techniques for detecting and predicting anomalies.


  • Call for papers and contributions
  • Submission format
  • Important dates
  • Organizers and Program Committee