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Mobile Activity Recognition Using Ubiquitous Data Stream Mining.

, , , , and . DaWaK, volume 7448 of Lecture Notes in Computer Science, page 130-141. Springer, (2012)

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Enabling Resource-Awareness for In-Network Data Processing in Wireless Sensor Networks., , and . ADC, volume 75 of CRPIT, page 95-102. Australian Computer Society, (2008)A fine-grained Random Forests using class decomposition: an application to medical diagnosis., and . Neural Comput. Appl., 27 (8): 2279-2288 (2016)Knowledge discovery from sensor data (SensorKDD)., , , , , and . SIGKDD Explor., 10 (2): 68-73 (2008)Advances in data stream mining for mobile and ubiquitous environments., , and . CIKM, page 2607-2608. ACM, (2011)4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection., , and . CoRR, (2020)Activity Recognition with Evolving Data Streams: A Review., , , and . ACM Comput. Surv., 51 (4): 71:1-71:36 (2018)Data stream mining in ubiquitous environments: state-of-the-art and current directions., , , , and . WIREs Data Mining Knowl. Discov., 4 (2): 116-138 (2014)An overview of interactive visual data mining techniques for knowledge discovery., , , and . WIREs Data Mining Knowl. Discov., 3 (4): 239-256 (2013)An Information-Theoretic Approach for Setting the Optimal Number of Decision Trees in Random Forests., , and . SMC, page 1013-1019. IEEE, (2013)RED-GENE: An Evolutionary Game Theoretic Approach to Adaptive Data Stream Classification., , and . IEEE Access, (2019)