Mining Classification Rules in the Presence of Concept Drift with an Incremental Genetic

摘要

Traditional classification algorithms are ideally suited to the processing of small datasets with a stationary distribution, and therefore yield significant errors when applied to real-world datasets subject to concept drift. In the current study, this pr