Journal of Engineering, Project, and Production Management, 2026, 16(1), 2025-198
International Economic Analysis Based on FP-Growth and Pearson Model
Associate Professor, School of Economics and Management, Guangdong Open University, Guangzhou 510091, China, E-mail: jkpasl66@outlook.com
Project Management
Received September 4, 2025; revised October 24, 2025; accepted October 30, 2025
Available online December 8, 2025
Abstract: In the context of global economic integration and a complex, volatile international situation, accurately identifying and quantifying the core factors and constraints influencing the development of the international economy holds significant practical and research value for economists, policymakers, data scientists. However, existing analytical methods have limitations such as excessive deviation, insufficient accuracy, and low efficiency. To address these issues, this study utilizes the hypergraph frequent pattern mining algorithm to optimize the frequent pattern growth algorithm, enhancing its efficiency in mining association rules for high-dimensional sparse economic data. Additionally, the Spearman’s rank correlation coefficient was introduced to improve the Pearson model, enabling a comprehensive quantification of both linear and nonlinear economic variable relationships. Meanwhile, by integrating the improved frequent pattern growth algorithm with the improved Pearson model, an analysis framework and model for international economic development factors were constructed. The experimental results show that this model achieves an accuracy of 98.4% and a precision of 89.7% in high-noise environments, with a theoretical consistency of 0.889, and the computation time and memory usage were only 147.3 ms and 138.4 MB, respectively. The average sensitivity across different datasets was 94.33%, the support degree of relationship recognition was 95.2%, the data coverage rate was 93.9%, a variable correlation consistency rate of 96.5%, and an error rate of only 0.41%. The robustness and generalization of the model were verified. All these results are superior to those of the comparison model, fully demonstrating the feasibility and superiority of the proposed model. It provides economists with a more precise tool for mining the correlation of international economic variables and offers precise data support for policymakers to formulate economic regulatory policies, which is conducive to promoting the stable development of the international economy.
Keywords: FP-Growth, H-Mine, Pearson correlation coefficient, Spearman's rank correlation coefficient, international economy, factor analysis of development.
Copyright © Journal of Engineering, Project, and Production Management (EPPM-Journal).
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.
Requests for reprints and permissions at eppm.journal@gmail.com.
Citation: Lu, G. (2026). International Economic Analysis Based on FP-Growth and Pearson Model. Journal of Engineering, Project, and Production Management, 16(1), 2025-198.
DOI:
10.32738/JEPPM-2025-198
Full Text
