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Advances in data stream mining for mobile and ubiquitous environments.

, , and . CIKM, page 2607-2608. ACM, (2011)

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Building ubiquitous computing applications using the VERSAG adaptive agent framework., , , and . J. Syst. Softw., 86 (2): 501-519 (2013)Towards Anytime Anywhere Data Mining e-Services., , and . AusDM, page 47-56. University of Technology Sydney, Australia, (2002)A hybrid model for improving response time in distributed data mining., , and . IEEE Trans. Syst. Man Cybern. Part B, 34 (6): 2466-2479 (2004)Web Services for Analysing and Summarising Online Opinions and Reviews., , , and . ServiceWave, volume 6481 of Lecture Notes in Computer Science, page 136-149. Springer, (2010)Role of Context-Awareness for Demand Response Mechanisms., and . ICT-GLOW, volume 6868 of Lecture Notes in Computer Science, page 136-149. Springer, (2011)Techniques for Estimating the Computation and Communication Costs of Distributed Data Mining., , and . International Conference on Computational Science (1), volume 2329 of Lecture Notes in Computer Science, page 603-612. Springer, (2002)CARDAP: A Scalable Energy-Efficient Context Aware Distributed Mobile Data Analytics Platform for the Fog., , , , , and . ADBIS, volume 8716 of Lecture Notes in Computer Science, page 192-206. Springer, (2014)Visualisation of Fuzzy Classification of Data Elements in Ubiquitous Data Stream Mining., , , and . IWUC, page 29-38. INSTICC Press, (2006)Adaptive mobile activity recognition system with evolving data streams., , , and . Neurocomputing, (2015)A fuzzy approach for interpretation of ubiquitous data stream clustering and its application in road safety., , and . Intell. Data Anal., 11 (1): 89-108 (2007)