A novel drift detection algorithm based on features’ importance analysis in a data streams environment

• Main Authors: Duda, Piotr, Przybyszewski, Krzysztof, Wang, Lipo
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Data Stream Mining; Random Forest
• Online Access: https://hdl.handle.net/10356/145350
• Institution: Nanyang Technological University

The training set consists of many features that influence the classifier in different degrees. Choosing the most important features and rejecting those that do not carry relevant information is of great importance to the operating of the learned model. In the case of data streams, the importance of...