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Green Accelerated Hoeffding Tree., , , , and . CoRR, (2022)Energy Efficiency in Data Stream Mining., , and . ASONAM, page 1125-1132. ACM, (2015)Is it ethical to avoid error analysis?, and . CoRR, (2017)Estimation of energy consumption in machine learning., , , and . J. Parallel Distributed Comput., (2019)Energy-aware very fast decision tree., , , , and . Int. J. Data Sci. Anal., 11 (2): 105-126 (2021)Hoeffding Trees with Nmin Adaptation., , , , and . DSAA, page 70-79. IEEE, (2018)Energy Efficiency in Machine Learning: Approaches to Sustainable Data Stream Mining.. Blekinge Institute of Technology, Sweden, (2020)base-search.net(ftblekingethallb:oai:DiVA.org:bth-18986).How to Measure Energy Consumption in Machine Learning Algorithms., , , , and . Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, volume 11329 of Lecture Notes in Computer Science, page 243-255. Springer, (2018)Identification of Energy Hotspots: A Case Study of the Very Fast Decision Tree., , and . GPC, volume 10232 of Lecture Notes in Computer Science, page 267-281. (2017)Hashtags and followers - An experimental study of the online social network Twitter., , and . Soc. Netw. Anal. Min., 6 (1): 12:1-12:15 (2016)