Ubiquitous Data Mining (UDM)

Ubiquitous Data Mining (UDM) uses Data Mining techniques to extract useful knowledge from data, namely when its characteristics reflect a World in Movement. The goal of this workshop is to convene researchers (from both academia and industry) who deal with techniques such as: decision rules, decision trees, association rules, clustering, filtering, learning classifier systems, neural networks, support vector machines, preprocessing, postprocessing, feature selection, visualization techniques, etc. for UDM of distributed and heterogeneous sources in the form of a continuous stream with mobile and/or embedded devices and related themes.

Authors of best workshop papers will be invited to submit extended versions of their work to Intelligent Data Analysis Journal (for papers focusing research and applications of artificial inteligence techniques).