Research on Artificial Intelligence Forecasting Method Integrating Data Mining and Statistical Analysis

Abstract

For the science of the predicting methods of artificial intelligence, data mining and statistical analysis are two indispensable technologies. The core and essence of the technology is to analyze and process data, and select appropriate models and parameters to solve practical problems. In this paper, the input data dimension of time series is taken as the research object. Based on the two aspects of univariate and multivariable time series, the analysis and research of artificial intelligence prediction method integrating data mining and statistical analysis are carried out. The results show that in terms of single variable statistical model of artificial intelligence parameter estimation method, the prediction accuracy is not greatly improved and the deviation between the estimated value and the real value is also large. While at the level of multivariate statistical model of artificial intelligence parameter estimation method, it can not only fully improve the prediction accuracy, but also be similar to the estimated value and the real value.