Stationarity test is a key problem of time series regression analysis,existing methods of stationarity test can hardly deal with the massive data,the test accuracy needs to be improved.Based on the analysis of classification,this paper would build a new method for stationarity test,which could effectively deal with massive time series data.Firstly,it calculates the autocorrelation function and then construct a fully and non-necessary criterion;secondly,establish a kind of quantitative analysis of sequence convergence,the optimal value of the sequence convergent parameter is given out,and then ...