Abstract: Predictive continuous aggregate queries over data streams are proposed in this paper Models and algorithms for predicting the aggregate value, such as count, over data streams based on recent data are given using statistics Extensive experimental studies based on real benchmark data and synthetic data are carried out to demonstrate the accuracy of the techniques Analysis and experimental results show that the techniques in terms of statistics could obtain better accuracy of prediction of aggregate values over data streams in the future