Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective
Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective
Ensemble methods for classification have been effectively used for decades, while for outlier detection it has only been studied recently. In this work, we design a new ensemble approach for outlier detection in multi-dimensional point data, which provides improved accuracy by reducing error through both bias and variance by considering …