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The Design And Implementation Of Enterprise Finance Analysis System Based On Data Mining

Posted on:2015-02-11Degree:MasterType:Thesis
Country:ChinaCandidate:B G ChenFull Text:PDF
GTID:2268330428485329Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of society, more and more large-scale modern enterprisescollect a variety of massive financial data every day, and to explore the hidden informationbehind these financial data, then use the results of the financial analysis to solve a variety ofproblems. Generally, massive financial data analysis will face the following problems: theamount of financial data is too enormous to analyze directly; it is difficult to distinguishbetween true and false information, and to identify the useless data. So, how to removeredundant information? How to extract useful information efficiently from massive financialdata? Enterprises collect a lot of financial data with advanced information collectiontechnology. However, if these enterprises could not extract useful knowledge from thefinancial data, the phenomenon of “much data but little knowledge” will appear. The outdatedfinancial analysis methods limit the effective use of financial data, so that the enterprisescould not excavate valuable knowledge and rules behind the financial data.Recently, data mining technology is developing rapidly in artificial intelligence field.And data mining technology has been given sufficient attention by a wide variety of industries.The study of data mining is very broad, including manufacturing, telecommunications,pharmaceutical industry, network, and so on. Data mining techniques are often used to solvethe following problem, including classification of customers, market analysis, enterprisesmassive data analysis, and so on. Currently, Enterprise Miner, Intelligent Miner, Set Miner,Clementine Sybase and Warehouse Studio are the common data mining systems. Clusteralgorithms, association rules extraction algorithm and decision tree algorithms and thecommon data mining algorithms.This paper analyzes the research status of enterprise financial analysis, introduces theconcept, meaning, methods and prospects as well as several common data mining methods.On this basis, a new kind of enterprise financial analysis model was introduced, and that is:efficient data mining joint model for enterprise financial analysis. Then, a new enterprisefinancial analysis system is developed, based on the above model. The results of enterprisefinancial analysis can provide a very comprehensive and accurate enterprise financialcondition and operating condition for enterprise policymakers and investors.
Keywords/Search Tags:Data Mining, Enterprise Finance Analysis, Efficient Data Mining Joint Model forEnterprise Finance Analysis, Application Analysis
PDF Full Text Request
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