3rd International Workshop on
Knowledge Discovery from Data Streams
June, 29 2006
In conjunction with ICML 2006: The 23th International Conference on Machine Learning.
Extended paper submission deadline: May 5, 2006
The rapid growth in information science and technology in general and the complexity and volume of data in particular have introduced new challenges for the research community. Databases are growing incessantly and, in many cases, we need to extract some sort of knowledge from this continuous stream of data. The goal of this workshop is to convene researchers who deal with decision rules, decision trees, association rules, clustering, filtering, preprocessing, post processing, feature selection, visualization techniques, etc. from data streams and related themes.
- Joao Gama, University of Porto, Portugal
- Jesús S. Aguilar-Ruiz, University of Pablo de Olavide, Spain
- Josep Roure, Carnegie Mellon University, US