Information resources estimation for accurate distribution-based concept drift detection

Chang How Tan, Vincent C. S. Lee, Mahsa Salehi

Abstract: Highlights•Answers “How many labeled samples are required to detect concept drift accurately?”•Analyses the information resources required for the detection of concept drift task.•Proposed an analytical estimation framework for the concept drift detection task.•Proposed the use of a lookup table for information resources estimation.•Evaluated the proposed analytical framework on benchmarked data sets and methods.