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Design and Implementation of Financial Service and Management Platform considering Support Vector Machine Algorithm.

Lei Tian1

  • 1School of Economics and Management, Chifeng University, Inner Mongolia, Chifeng, China.

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Summary
This summary is machine-generated.

This study introduces a redesigned financial service and management platform incorporating the support vector machine algorithm. The enhanced platform significantly reduces financial risk and improves service efficiency, demonstrating its effectiveness in managing complex financial landscapes.

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Area of Science:

  • Financial Technology
  • Data Science
  • Risk Management

Background:

  • The financial industry's growth necessitates advanced management platforms.
  • Traditional platforms struggle with information sharing, leading to inefficiencies and risks.
  • Complex financial risks require innovative solutions beyond current systems.

Purpose of the Study:

  • To redesign financial service and management platforms for improved efficiency and risk mitigation.
  • To integrate the support vector machine algorithm into financial platforms.
  • To enhance data sharing and interaction capabilities within financial systems.

Main Methods:

  • Readjusting the underlying architecture of financial platforms to improve data interaction.
  • Combining and extending the support vector machine algorithm for multivariate classification.
  • Redesigning financial service and management platforms with integrated support vector machines.

Main Results:

  • Reduced financial risk by 17.2%.
  • Improved financial service level by 30.2% and comprehensive service level by 45.2%.
  • Achieved 78.9% accuracy in predicting financial risks through enhanced information sharing.

Conclusions:

  • The support vector machine-based financial platform effectively prevents financial risks.
  • The redesigned platform significantly enhances financial service and management efficiency.
  • Information sharing and interaction are crucial for effective financial risk prediction and management.