Abstract
Time series analysis is a dynamic data analysis and processing method. The biggest characteristic of time series analysis is that the successive observations are not independent. When the observation series are correlated, the autocorrelation between the observation data can be used to establish the dynamic model of the data series. Thus, the existing observation data can be used to predict the future data. Time series analysis is an effective tool to deal with dynamic observation data.
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