Fuzzy Clustering-Based Financial Data Mining System Analysis and Design

Kun Li, Yanjun Chen
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引用次数: 2

Abstract

This paper is based on fuzzy clustering algorithm on financial data, design of financial data mining system and analysis of financial data, analysis of financial data on the financial decision-making mechanism, from financial data how to enhance the information base of the forecast, financial data how to improve the pertinence of decision-making, financial data how to build a new competitive advantage, financial data how to promote the dynamic decision-making of four, through the analysis of data in financial decision-making specific implementation cases, focusing on the real-life problems faced by the management and the effect of financial data platform to solve problems; finally, through this paper, we hope to provide reference and reference for other similar enterprises to apply financial data for financial decision-making. This paper first describes the theory of financial data, analyzes the mechanism of financial data and financial decision-making, how financial data enhance the information base of forecasting, how financial data improve the pertinence of decision-making, how financial data build a new competitive advantage, how financial data promote dynamic decision-making four dimensions to summarize.
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基于模糊聚类的金融数据挖掘系统分析与设计
本文基于模糊聚类算法对财务数据进行挖掘,设计财务数据挖掘系统并对财务数据进行分析,分析财务数据对财务决策的作用机制,从财务数据如何增强信息库的预测性、财务数据如何提高决策的针对性、财务数据如何构建新的竞争优势、财务数据如何促进决策的动态性四个方面进行研究。通过分析数据在财务决策中的具体实施案例,重点分析现实生活中所面临的管理问题和财务数据平台解决问题的效果;最后,希望通过本文为其他类似企业运用财务数据进行财务决策提供借鉴和参考。本文首先阐述了财务数据的理论,分析了财务数据与财务决策的机制,财务数据如何增强预测的信息库,财务数据如何提高决策的针对性,财务数据如何构建新的竞争优势,财务数据如何促进动态决策四个维度进行了总结。
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