Measuring the Effectiveness of Adaptive Random Forest for Handling Concept Drift in Big Data Streams.

Autor: AlQabbany AO; Department of Computer Science, College of Computer & Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia.; King Abdulaziz City for Science and Technology, Riyadh 12371, Saudi Arabia., Azmi AM; Department of Computer Science, College of Computer & Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia.

Publikováno v: Entropy (Basel, Switzerland) [Entropy (Basel)] 2021 Jul 04; Vol. 23 (7). Date of Electronic Publication: 2021 Jul 04.