Corrupted Nodes and their Impact on a Distributed Decision Tree
Kevin Wallis, Fabian Schillinger, Christoph Reich, Christian Schindelhauer · 2020
Machine learning applications, like machine condition monitoring, predictive maintenance, and others, become a state of the art in Industry 4.0. One of many machine learning algorithms are decision trees for the decision-making process. A new approach for creating distributed decision trees, called node based parallelization, is presented. It allows data to be classified through a […]