Enhancement of Very Fast Decision Tree for Data Stream Mining
Mai LEFA, Hatem ABD-ELKADER, Rashed Salem · Studies in Informatics and Control · 2022
This work proposes a hyper model to reduce the overuse of algorithm's energy.The parameters of the algorithm should be improved for the energy saving.When some parameters are fixed, the algorithm calculates unnecessary operations.Therefore, the algorithm wastes energy on making such operations.So, the paper proposes dynamic parameters instead of the fixed ones to enhance Hoeffding tree parameter adaption and reduce the overuse of energy.Energy (joules) is the product