Smart Financial Management System Based on Data Ming and Man-Machine Management

Maotao Lai
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引用次数: 8

Abstract

To begin, the architecture of an intelligent financial management system is thoroughly investigated, and a new architecture of an intelligent financial management support system based on data mining is developed. Second, it goes over the definition and structure of a data warehouse and data mining, as well as how to use data mining strategy and technology in financial management. Data mining in relation to technology is being investigated, as is the development of an intelligent data mining algorithm. The flaws of the intelligent data mining algorithm are discovered through an analysis and summary of the algorithm, and an improved algorithm is proposed to address the flaws. Related mining experiments are carried out on the improved algorithm, and the experiment shows that it has certain advantages. Then, using an intelligent forecasting financial management decision as an example, the intelligent financial management based on data mining is thoroughly investigated, the basic design framework for intelligent financial management is established, and the application of a data mining model in decision support system is introduced.
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基于数据挖掘和人机管理的智能财务管理系统
首先,对智能财务管理系统的体系结构进行了深入的研究,提出了一种基于数据挖掘的智能财务管理支持系统的新体系结构。其次,介绍了数据仓库和数据挖掘的定义和结构,以及如何在财务管理中使用数据挖掘策略和技术。与技术相关的数据挖掘正在被研究,智能数据挖掘算法的发展也是如此。通过对智能数据挖掘算法的分析和总结,发现了算法存在的缺陷,并提出了一种改进算法来解决这些缺陷。对改进算法进行了相关的挖掘实验,实验表明,改进算法具有一定的优势。然后,以智能预测财务管理决策为例,深入研究了基于数据挖掘的智能财务管理,建立了智能财务管理的基本设计框架,并介绍了数据挖掘模型在决策支持系统中的应用。
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