in conjuntion with the 18th European Conference on Machine Learning (ECML) and the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD).

Structure of the Workshop One-day workshop, including: 9h - Tutorial: State-of-the-art in Data Stream Mining 14h - Invited Speaker: Philippe Bonnet Sensor Network-based Scientific Data Acquisition: Lessons Learned and Challenges Ahead

Workshop Program 14h45m Session I (15m each) Learning an Outlier-Robust Kalman Filter J. Ting, E. Theodorou and S. Schaal A Model for Quality Guaranteed Resource-Aware Stream Mining M. Karnstedt, C. Franke and M. Gaber 15h15m Poster Presentations (5m each): Efficient Secure Query Processing in XML Data Stream Dong-Chan An and Seog Park Enhanced Anytime Algorithm for Induction of Oblivious Decision Trees Mark Last and A. Saveliev Quasi-Incremental Bayesian Classifier M. Yoshida and E. Hruschhka Coffee Break 16h Session II (15m each) Learning novel concepts: beyond one-class classification with OLINDDA E. Spinosa, A. Carvalho and J. Gama Resource-aware Distributed Online Data Mining for Wireless Sensor Networks N. Phung, M. Gaber and U. Roehm 16h30 Session III (10m each) A Semi-Fuzzy Approach for Online Divisive-Agglomerative Clustering P. Rodrigues and J. Gama An Architecture for Context-Aware Adaptive Data Stream Mining P. Haghighi, M. Gaber, S. Krishnaswamy, A. Zaslavsky and S. Loke S-means: Similarity Driven Clustering and Its application in Gravitational-Wave Astronomy Data Mining H. Lei, L. Tang and J. Iglesias PQStream: A Data Stream Architecture for Electrical Power Quality D. Kucuk, B. Boyrazoglu and S. Buhan Relational Transformation-based Tagging for Human Activity Recognition N. Landwehr, B. Gutmann, I. Thon, M. Philipose and L. Raedt

Workshop Participation All workshop participants are required to register for the main conference. During registration the participants should specify that they wish to attend this workshop.