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Adaptive mobile activity recognition system with evolving data streams.

, , , и . Neurocomputing, (2015)

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Zahraa Kollmann

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Adaptive mobile activity recognition system with evolving data streams., , , и . Neurocomputing, (2015)CARDAP: A Scalable Energy-Efficient Context Aware Distributed Mobile Data Analytics Platform for the Fog., , , , , и . ADBIS, том 8716 из Lecture Notes in Computer Science, стр. 192-206. Springer, (2014)Effect of Hyper-Parameter Optimization on the Deep Learning Model Proposed for Distributed Attack Detection in Internet of Things Environment., , , и . CoRR, (2018)AnyNovel: detection of novel concepts in evolving data streams., , , и . Evol. Syst., 7 (2): 73-93 (2016)Where Have You Been? Using Location Clustering and Context Awareness to Understand Places of Interest., , и . NEW2AN, том 7469 из Lecture Notes in Computer Science, стр. 51-62. Springer, (2012)Data Preparation., , и . Encyclopedia of Machine Learning and Data Mining, Springer, (2017)Scalable Energy-Efficient Distributed Data Analytics for Crowdsensing Applications in Mobile Environments., , , , , и . IEEE Trans. Comput. Social Systems, 2 (3): 109-123 (2015)StreamAR: Incremental and Active Learning with Evolving Sensory Data for Activity Recognition., , , и . ICTAI, стр. 1163-1170. IEEE Computer Society, (2012)Multi-domain evaluation framework for named entity recognition tools., , и . Comput. Speech Lang., (2017)Activity Recognition with Evolving Data Streams: A Review., , , и . ACM Comput. Surv., 51 (4): 71:1-71:36 (2018)