Design of Macroeconomic Growth Prediction Algorithm Based on Data Mining

Abstract

With the rapid development of information technology and globalization of economy, financial data are being generated and collected at an unprecedented rate. Consequently, there has been a dire need of automated methods for effective and proficient utilization of a substantial amount of financial data to help in investment planning and decision-making. Data mining methods have been employed to discover hidden patterns and estimate future tendencies in financial markets. In this article, an improved macroeconomic growth prediction algorithm based on data mining and fuzzy correlation analysis is presented. This study analyzes the sequence of economic characteristics, reorganizes the spatial structure of economic characteristics, and integrates the statistical information of economic data. Using the optimized Apriori algorithm, the association rules between macroeconomic data are generated. Distinct features are extracted according to association rules using the joint distribution characteristic quantity of macroeconomic time series. Moreover, the Doppler parameter of macroeconomic time series growth prediction is calculated, and the residual analysis method of the regression model is used to predict the growth of macroeconomic data. Experimental results show that the proposed algorithm has better adaptability, less computation time, and higher prediction accuracy of economic data mining.

[Retracted] Comprehensive Evaluation of Government Economic Management Performance Based on Multidimensional Data Mining in Fuzzy Comprehensive Environment

“…Taking the United States as an example, Cantador I and others introduced the representative government performance evaluation index system, including the evaluation model of the U.S. government accounting standards board, the evaluation model of the Campbell Institute, the general performance indicators of the federal government and the Balanced Scorecard evaluation model, and summarized the main experience and Enlightenment of the U.S. government performance evaluation [ 17 ]. Sun et al introduced the contemporary federal government performance evaluation tools to evaluate federal projects; Department performance evaluation: federal departments evaluate department performance at the end of each fiscal year; The cross department performance evaluation mainly evaluates the progress of the federal departments in implementing the five reform plans in the presidential administration log through the three color rating bisection card [ 18 ]. Based on the logical model analysis, Dagaeva et al pointed out that there is an obvious causal path in the whole process of government organizations from obtaining resources to output, and each key point on the path may be called a performance evaluation index.…”

Construction and Optimization of Macroeconomic Data Forecasting Model Based on Machine Learning

“…An enhanced macroeconomic growth forecast system based on data mining and fuzzy correlation analysis is presented in this work [19]. By analyzing economic characteristics, restructuring spatial economic structures, and integrating statistical information, the algorithm generates association rules using the optimized Apriori algorithm.…”