Ubiquitous Data Mining(UDM) uses Data Mining techniques to extract useful knowledge from data, namely when its characteristics re ect 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, ltering, learning classi er systems, neural networks, support vector machines, preprocessing, postprocessing, feature selection and visualization techniques for UDM of distributed and heterogeneous sources in the form of a continuous stream with mobile and/or embedded devices and related themes. This is the third workshop in the topic. We received 12 submissions that were evaluated by 3 members of the Program Committee. The PC recommended accepting 8 full papers and 2 Position Papers. We have a diverse set of papers focusing from activity recognition, predicting taxis demand, trend mining to more theoretical aspects of learning model rules from data streams. All papers deal with di erent aspects of evolving data and/or distributed data. We would like to thank all people that make this event possible. First of all, we thank authors that submit their work and the Program Committee for the work in reviewing the papers, and proposing suggestions to improve the works. A nal Thanks to the IJCAI Workshop Chairs for all the support.
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Joa~o Gama, Michael May, Nuno Marques, Paulo Cortez and Carlos A. Ferreira
Carlos A. Ferreira Organized in the context of the project Knowledge Discovery from Ubiquitous Data Streams (PTDC/EIA-EIA/098355/2008). This workshop is funded by the ERDF European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by the Portuguese Government Funds through the FCT (Portuguese Foundation for Science and Technology).
Albert Bifet, Technical University of Catalonia, Spain Alfredo Cuzzocrea, University of Calabria, Italy Andre Carvalho, University of Sa~o Paulo (USP), Brazil Antoine Cornuejols, LRI, France Carlos A. Ferreira, Institute of Engineering of Porto, Portugal Eduardo Spinosa, University of Sa~o Paulo (USP), Brazil Elaine Sousa, University of Sa~o Paulo, Brazil Elena Ikonomovska, University St. Cyril & Methodius, Macedonia Ernestina Menasalvas, Technical University of Madrid, Spain Florent Masseglia, INRIA, France Geo rey Holmes, University of Waikato, New Zealand Hadi Tork, LIAAD-INESC TEC, Portugal Jesus Aguilar, University of Pablo Olavide, Spain Jiong Yang, Case Western Reserve University, USA Joa~o Gama, University of Porto, Portugal II Joa~o Gomes, I2R A*Star, Singapure Joa~o Mendes Moreira, University of Porto, Portugal Jose Avila, University of Malaga, Spain Josep Roure, CMU, USA Manuel F. Santos, University of Minho, Portugal Mark Last, Ben Gurion University, Israel Matjaz Gams, Jozef Stefan Institute, Slovenia Michael May, Fraunhofer Bonn, Germany Min Wang, IBM, USA Miroslav Kubat, University of Miami, USA Mohamed Gaber, University of Plymouth, UK Myra Spiliopoulou, University of Magdeburg, Germany Nuno Marques, University of Nova Lisboa, Portugal Paulo Cortez, University of Minho, Portugal Pedro P. Rodrigues, University of Porto, Portugal Philip Yu, IBM Watson, USA Raquel Sebastia~o, University of Porto, Portugal Rasmus Pederson, Copenhagen Business School, Denmark Ricard Gavalda, University of Barcelona, Spain Shonali Krishnaswamy, Monash University, Australia Xiaoyang S. Wang, University of Vermont, USA Ying Yang, Monash University, Australia