Abstract
Traditional machine learning classification techniques are essentially based on the premise that the future distribution of the data remains consistent to the distribution presented in the training set, i.e.,the data distribution is stationary along time. However, over the past few years, more and more new applications need to process not only increasing volumes of data, but also data tha…