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Adaptive mobile activity recognition system with evolving data streams., , , and . Neurocomputing, (2015)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)AnyNovel: detection of novel concepts in evolving data streams., , , and . Evolving Systems, 7 (2): 73-93 (2016)Effect of Hyper-Parameter Optimization on the Deep Learning Model Proposed for Distributed Attack Detection in Internet of Things Environment., , , and . CoRR, (2018)Where Have You Been? Using Location Clustering and Context Awareness to Understand Places of Interest., , and . NEW2AN, volume 7469 of Lecture Notes in Computer Science, page 51-62. Springer, (2012)CBARS: Cluster Based Classification for Activity Recognition Systems., , , and . AMLTA, volume 322 of Communications in Computer and Information Science, page 82-91. Springer, (2012)Activity Recognition with Evolving Data Streams: A Review., , , and . ACM Comput. Surv., 51 (4): 71:1-71:36 (2018)Scalable Energy-Efficient Distributed Data Analytics for Crowdsensing Applications in Mobile Environments., , , , , and . IEEE Trans. Comput. Social Systems, 2 (3): 109-123 (2015)StreamAR: Incremental and Active Learning with Evolving Sensory Data for Activity Recognition., , , and . ICTAI, page 1163-1170. IEEE Computer Society, (2012)KB-CB-N classification: Towards unsupervised approach for supervised learning., and . CIDM, page 283-290. IEEE, (2011)