Visualizing the Financial Situations and Trends via Chance Discovery

In order to recognize the performance of management and realize the possibility of investment, stakeholders inside and outside the business need to understand the financial situation of a company. Usually, reading and interpreting the public offering financial statements is a common way to obtain an...

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Bibliographic Details
Main Authors: Tzu-Fu Chiu, Chao-Fu Hong, Yu-Ting Chiu
Format: Conference Proceeding
Language:English
Subjects:
Computer networks
Computer science
Data mining
Euclidean distance
Feature extraction
Intrusion detection
Machine learning
Mathematics
Robustness
Visualization
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Summary:In order to recognize the performance of management and realize the possibility of investment, stakeholders inside and outside the business need to understand the financial situation of a company. Usually, reading and interpreting the public offering financial statements is a common way to obtain an overall understanding of financial situation. 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 research design has been proposed for visualizing the financial situations and trends of two companies. Consequently, serial KeyGraphs and trend diagrams were generated for depicting the overview of the successive five-year scenario.
DOI:10.1109/ACIIDS.2009.39