Fuzzy Clustering-Based Financial Data Mining System Analysis and Design

Author:

Li Kun1ORCID,Chen Yanjun1

Affiliation:

1. Business School, Sichuan University, Chengdu, Sichuan 610000, P. R. China

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.

Publisher

World Scientific Pub Co Pte Ltd

Subject

Computer Science (miscellaneous)

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