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Construction and Model Realization of Financial Intelligence System Based on Multisource Information Feature Mining.

Jing Li1

  • 1School of Henan Institute of Economics and Trade, Zhengzhou 450000, Henan, China.

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|July 14, 2022
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Summary

This study enhances financial information systems by mining multisource data, improving decision accuracy. The proposed financial intelligence system model achieves 95% discrimination accuracy, outperforming traditional methods.

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Area of Science:

  • Information Science
  • Business Intelligence
  • Financial Technology

Background:

  • Multisource information mining and business intelligence are active research areas.
  • Current commercial applications of these technologies in finance are suboptimal.
  • Significant work remains for effective decision support in financial applications.

Purpose of the Study:

  • To examine multisource information mining in financial contexts.
  • To explore research hotspots in accounting informatization, intelligent financial analysis software, data warehousing, data mining, and decision support systems.
  • To establish a foundation for financial information systems using information mining.

Main Methods:

  • Analysis of multisource information mining techniques.
  • Examination of financial information system composition and content.
  • Development of a financial intelligence system model encompassing analysis, monitoring, decision-making, and early warning.
  • Proposal of an operational strategy and low-risk implementation strategies for financial intelligence.

Main Results:

  • The financial intelligence system integrates four key components: analysis, monitoring, decision-making, and early warning.
  • The developed financial information system achieved an overall discrimination accuracy of 95%.
  • This accuracy represents a 42% improvement over traditional models.

Conclusions:

  • The financial intelligence system model provides a robust framework for financial information systems.
  • Mining multisource information significantly enhances the accuracy and effectiveness of financial systems.
  • The developed model benefits the advancement and application of financial information.