Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification

1 code implementation • 27 Jun 2020 • Rakshitha Godahewa, Trevor Yann, Christoph Bergmeir, Francois Petitjean

This paper explores how to best handle seasonal drift in the specific context of news article categorization (or classification/tagging), where seasonal drift is overwhelmingly the main type of drift present in the data, and for which the data are high-dimensional.

Classification General Classification