Conceptual drift greatly affects the results of traffic flow prediction.When the data distri-bution or attributes change,and the parameters and structure of the model are not adjusted in a timely manner,the accuracy of the model's prediction results will significantly decrease,and even become com-pletely ineffective.Studying traffic flow data and its characteristics,conceptual drift and its detection steps and methods is of great significance for the establishment of traffic flow data conceptual drift detec-tion and detection models,as well as timely adjustment and optimization of traffic flow prediction models in the later stage.
NETL
NSTL
维普
万方数据
