Corporate Financial Situation System Based on Decision Tree and SVM

Xuejun Yuan, Mingqi Ye
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Abstract

The analysis of enterprise financial status is the key to enterprise management, which has an important impact on investment decision, risk control and strategic planning of enterprises. Although traditional financial analysis methods can meet the needs of enterprises to a certain extent, there are limitations in dealing with complex problems. In recent years, with the development of data mining technology, decision tree, as an effective classification and prediction tool, has been gradually applied to the study of enterprise financial status. The purpose of this paper is to discuss the application of decision tree in the analysis of enterprise financial situation, and to analyze its effect and challenge in practical application.
基于决策树和 SVM 的企业财务状况系统
企业财务状况分析是企业管理的关键,对企业的投资决策、风险控制和战略规划有着重要影响。传统的财务分析方法虽然能在一定程度上满足企业的需求,但在处理复杂问题时存在局限性。近年来,随着数据挖掘技术的发展,决策树作为一种有效的分类和预测工具,逐渐被应用到企业财务状况的研究中。本文旨在探讨决策树在企业财务状况分析中的应用,并分析其在实际应用中的效果与挑战。
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