Research on the Application of Apriori Association Algorithm in the Collection of Enterprise Financial Data

Dong-Heon Yang
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Abstract

In order to analyze and study the potential value of information in the financial information system, this article analyzes and studies the financial decisions provided by financial decision-makers. This article mainly discusses the application effect research of Apriori related algorithms in corporate financial data collection. First, it introduces the research background, research content and research significance of this system, discusses data, financial information system and online analysis and processing technology in the same industry. . Then it discusses the basic technology and methods of Apriori algorithm, especially focusing on the analysis and explanation of the algorithm's data mining technology in the financial information system. Secondly, it explains the basic principles of the financial information system, and elaborates its system structure, data organization, development and design in detail.
Apriori关联算法在企业财务数据收集中的应用研究
为了分析和研究财务信息系统中信息的潜在价值,本文对财务决策者提供的财务决策进行分析和研究。本文主要讨论Apriori相关算法在企业财务数据采集中的应用效果研究。首先介绍了本系统的研究背景、研究内容和研究意义,讨论了数据、财务信息系统和同行业在线分析处理技术。然后讨论了Apriori算法的基本技术和方法,重点分析和说明了该算法的数据挖掘技术在金融信息系统中的应用。其次,阐述了财务信息系统的基本原理,详细阐述了财务信息系统的系统结构、数据组织、开发设计。
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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