An Analysis Model of Financial Statements Based on Data Mining

Author

Yanhong, Li ; Peng, Liu ; Zheng, Qin

Author_Institution

Sch. of Inf. Manage. & Eng., Shanghai Univ. of Finance & Econ.

fYear

2006

fDate

Sept. 2006

Firstpage

847

Lastpage

850

Abstract

The paper built an analysis model of financial statements based on data mining methods, that is making data mining methods such as clustering, association rules and decision making tree work together to step by step go into deeper analysis of existing financial statements, during which a annual assets structure statement is worked out. The data used for research is from financial statements of electronic product corporations published on Internet. The paper established and implemented an integrated data mining model for the electronic product industry. Finally, some meaningful conclusions were drawn, which is great benefit to decision makers and investors in this industry to analyze financial situations of some corporate and make better investment decisions, budget or management plans

Keywords

data mining; decision trees; financial data processing; financial management; Internet; analysis model; association rules; clustering; data mining; decision making tree; electronic product corporations; financial statements; Data analysis; Data mining; Decision making; Delta modulation; Financial management; Information analysis; Investments; Mining industry; Performance analysis; Risk analysis; Association rules; Clustering; Data mining; Decision making tree; Financial analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems, 2006 3rd International IEEE Conference on

Conference_Location

London

Print_ISBN

1-4244-01996-8

Electronic_ISBN

1-4244-01996-8

Type

conf

DOI

10.1109/IS.2006.348531

Filename

4155538