Have a personal or library account? Click to login
A Novel Drift Detection Algorithm Based on Features’ Importance Analysis in a Data Streams Environment Cover

A Novel Drift Detection Algorithm Based on Features’ Importance Analysis in a Data Streams Environment

Journal of Artificial Intelligence and Soft Computing Research
Volume 10 (2020): Issue 4 (October 2020)
By: Piotr Duda,  Krzysztof Przybyszewski and  Lipo Wang  
Open Access
|Jun 2020

Authors

Piotr Duda

piotr.duda@pcz.pl

Department of Computer Engineering, Czestochowa University of Technology, Częstochowa, Poland

Krzysztof Przybyszewski

Information Technology Institute, University of Social Sciences, Clark University, Łódz

Lipo Wang

Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
DOI: https://doi.org/10.2478/jaiscr-2020-0019
Journal RSS Feed
Language: English
Page range: 287 - 298
Submitted on: Nov 5, 2019
Accepted on: May 18, 2020
Published on: Jun 15, 2020
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
data stream mining,
random forest,
features importance
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2020 Piotr Duda, Krzysztof Przybyszewski, Lipo Wang, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Previous articleVolume 10 (2020): Issue 4 (October 2020)Next article