数据挖掘在金融风险控制中的应用

Q4 Business, Management and Accounting

International Journal of Business and Management Science Pub Date : 2023-02-17 DOI:10.56028/ijbm.1.1.5.2023

Tian Wei, Shuai Li

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引用次数: 0

摘要

近年来，随着中国金融市场的不断发展，“供应链金融模式”在中国金融市场上拓展了一项全新的业务，但“供应链金融模式”在业务管理发展的过程中，仍然存在一些风险因素。数据挖掘是一种新兴的商业信息处理技术，其特点是对商业数据库中的大量商业数据进行提取、转换、分析等建模，并从中提取关键信息以辅助商业决策。本文主要对经销商经营过程中的还款风险因素进行分析和研究，利用数据挖掘技术对金融企业经营过程中的风险因素进行控制，从而避免金融企业经营期间出现的一系列风险问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Application of Data Mining in Financial Risk Control

In recent years, with the continuous development of Chinese financial market, "supply chain finance mode" has expanded a brand new business within Chinese financial market, but "supply chain finance mode" in the process of business management development, there are still some risk factors. Data mining is a new business information processing technology, which is characterized by the extraction, transformation, analysis and other modeling of a large number of business data in the commercial database, and the extraction of key information to assist business decision. This paper mainly analyzes and studies the repayment risk factors in the operation process of dealers, and uses data mining technology to control the risk factors in the operation process of financial enterprises, so as to avoid a series of risk problems in the operation period of financial enterprises.

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来源期刊

International Journal of Business and Management Science Business, Management and Accounting-Business and International Management

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期刊介绍： The International Journal of Business and Management Science (IJBMS) (Print: ISSN 1837-6614; Online: 1985-692X) is a double-blind peer-reviewed semiannual journal. Generally the journal publishes the articles that expand knowledge on business and management issues. Business Complexity and Performance Management were the two of the top ten problems IJBMS cover pageof 20th century management. In the 21st century, overcoming such problems seem to be challenging to educators and practitioners. Do educators and practitioners agree on which management skills are required for success in the 21st century? These all issues call for substantial research to achieve a very modern sustainable business era of the global economy. IJBMS intends to focus on the business and management issues with the vision of sustainable competitiveness along with scientific evidences. The quantitative approach for analyzing a research problem is promoted by IJBMS.