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Situation-Aware Adaptive Visualization for Sensory Data Stream Mining.

P. Haghighi, B. Gillick, S. Krishnaswamy, M. Gaber, and A. Zaslavsky. KDD Workshop on Knowledge Discovery from Sensor Data, volume 5840 of Lecture Notes in Computer Science, page 43-58. Springer, (2008)

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Mohamed Hassan University of Stuttgart

Tarek Mohamed University of Stuttgart

Abdelrahman Hesham Mohamed University of Stuttgart

Sherif Abdulatif Mohamed University of Stuttgart

Mohamed Osama Helal Ahmed University of Stuttgart

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Collaborative Data Stream Mining in Ubiquitous Environments using Dynamic Classifier Selection.J. Gomes, M. Gaber, P. Sousa, and E. Ruiz. International Journal of Information Technology and Decision Making, 12 (6): 1287-1308 (2013)Resource-aware Mining of Data Streams.M. Gaber, S. Krishnaswamy, and A. Zaslavsky. J. UCS, 11 (8): 1440-1453 (2005)Clustering Distributed Time Series in Sensor Networks.J. Yin, and M. Gaber. ICDM, page 678-687. IEEE Computer Society, (2008)Extraction of Unexpected Rules from Twitter Hashtags and its Application to Sport Events.M. Adedoyin-Olowe, M. Gaber, C. Martín-Dancausa, and F. Stahl. ICMLA, page 207-212. IEEE, (2014)Reasoning about Context in Uncertain Pervasive Computing Environments.P. Haghighi, S. Krishnaswamy, A. Zaslavsky, and M. Gaber. EuroSSC, volume 5279 of Lecture Notes in Computer Science, page 112-125. Springer, (2008)Data Stream Mining Using Granularity-Based Approach.M. Gaber. Foundations of Computational Intelligence (6), volume 206 of Studies in Computational Intelligence, Springer, (2009)A Survey of Classification Methods in Data Streams.M. Gaber, A. Zaslavsky, and S. Krishnaswamy. Data Streams - Models and Algorithms, volume 31 of Advances in Database Systems, Springer, (2007)Incorporating Farthest Neighbours in Instance Space Classification.D. Vaccaro-Senna, and M. Gaber. KES, volume 243 of Frontiers in Artificial Intelligence and Applications, page 345-355. IOS Press, (2012)Predicting Hot-Spots in Distributed Cloud Databases Using Association Rule Mining.J. Kamal, M. Murshed, and M. Gaber. UCC, page 800-805. IEEE Computer Society, (2014)Knowledge discovery from sensor data (SensorKDD).O. Omitaomu, R. Vatsavai, A. Ganguly, N. Chawla, J. Gama, and M. Gaber. SIGKDD Explorations, 11 (2): 84-87 (2009)