A survey of the classification of data streams with concept drift
Fan Zhigang · Caai Transactions on Intelligent Systems · 2013
Because the current machine learning algorithms all are essentially an optimization procedure that aims to ensure the generalization ability based on static learning environment, the classification data streams with concept drift has brought severe challenges to machine learning. In order to address these concerns, a survey was developed consisting of four aspects: the introduction to data streams and concept drift, the development process and future trends, the main research fields, and the new developments in the study field of the classification data streams with concept drift. The existing problems relating to classification data streams with concept drift were discussed at last.