The European Workshop on Data Stream Analysis seeks to bring together researchers working on data base, machine-learning, decision rules, decision trees, association rules, filtering, data mining, clustering, visualization techniques, etc. from data streams and related themes. While the primary objective is to provide an avenue for dissemination of research results and works in progress, we also seek to discuss the future development of knowledge discovery in data streams, and how the research will benefit applications.

Structure of the WORKSHOP

Invited speakers:

	Jesús S. Aguilar-Ruiz (Associate Professor, Dean of the School of Engineering, Pablo de Olavide University, Seville, Spain) Rule Learning from Data Streams: an overview
	Graham Cormode (Researcher at AT&T Shannon Laboratories in Florham Park, New Jersey) Computational Fundamentals of Analyzing and Mining Data Streams
	Johannes Gehrke (Associate Professor, Department of Computer Sciences, Associate Director, CTC - Cornell University Ithaca, NY 14853) Processing Data Streams: You Only Get One Look
	Paolo Giudici (Associate Professor of statistics at the Faculty of Economics of the University of Pavia) Merging data streams in operational risk management
	Omer F. Rana (Reader in the School of Computer Science at Cardiff University, and Deputy Director of the Welsh eScience Centre) Analysing and Fusing Data from Healthcare Sensors

Invited sessions:

F.Clérot (France Telecom R&D) and G.Hébrail (EDF R&D and ENST Paris)

Summarizing data streams

João Gama (Researcher at the Laboratory of Artificial Intelligence and Computer Science, University of Porto)

Electricity Load Forecast using Data Streams Techniques

Pascal Poncelet (Pascal Poncelet is a professor and the head of the data mining research group in the computer science department at the Ecole des Mines d’Alès in France)

Mining Sequential Patterns over Online Data Streams