MACHINE LEARNING SYSTEM AND METHOD FOR COPING WITH POTENTIAL OUTLIERS AND PERFECT LEARNING IN CONCEPT-DRIFTING ENVIRONMENT

摘要

The present disclosure provides methods and systems for coping with outliers and perfect learning in a concept-drifting environment. Data in the concept-drifting environment are time series data, and embodiments of the present disclosure uses moving windows to solve the problem of concept-drifting.