Visualization of Financial Trends Using Chance Discovery Methods

Authors:
Tzu-Fu Chiu;Chao-Fu Hong;Yu-Ting Chiu
Affiliations:
Department of Industrial Management, Aletheia University, Taipei, Taiwan, R.O.C.;Department of Information Management, Aletheia University, Taipei, Taiwan, R.O.C.;Department of Information Management, National Central University, Taoyuan, Taiwan, R.O.C.
Venue:
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
Year:
2008

Citing 4
Cited 0

KeyGraph: Automatic Indexing by Co-occurrence Graph based on Building Construction Metaphor

ADL '98 Proceedings of the Advances in Digital Libraries Conference
Statistics for Business and Economics (with Student CD-ROM, iPod Key Term, and InfoTrac )

Statistics for Business and Economics (with Student CD-ROM, iPod Key Term, and InfoTrac )
Using conceptual scenario diagrams and integrated scenario map to detect the financial trend

IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Chance discovery in credit risk management: estimation of chain reaction bankruptcy structure by directed keygraph

IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Due to the concern of business performance and the consideration of possible investment, stakeholders inside and outside the business need to understand the financial status of a company. Usually, reading and interpreting the public offering financial statements is a common way to obtain an overall financial situation of a company. Apart from reading them directly, some visualization methods were employed so as to assist the less-professional stakeholders to understand the financial status more intuitively and painlessly. Chance discovery is one of the visualization methods which may be suitable to be applied in the financial trend detection area. In this study, a financial data visualization framework has been proposed to produce the serial KeyGraph for explaining the financial situations of two companies. Subsequently, an integrated map of financial trend was generated for depicting the overview of the accumulative five-year scenario. Finally, the visualization of financial trend was attained using serial KeyGraph and integrated map.