Paper Info
Title
Visualizing the Financial Situations and Trends via Chance Discovery
Abstract
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.
Year
DOI
Venue
2009
10.1109/ACIIDS.2009.39
ACIIDS
Keywords
Field
DocType
company financial situation visualization method,trend diagram,investment management,overall understanding,financial data processing,financial status,financial situations,serial keygraph,financial trend detection area,data visualisation,financial statement,financial trend detection,financial situation,less-professional stakeholder,investment,data mining,graph theory,rule extraction,stakeholders inside,chance discovery,visualization method,less-professional stakeholders,euclidean distance,feature extraction,intrusion detection,mathematics,predictive models,machine learning,computer science,robustness,nickel,data visualization,computer networks,visualization
Financial modeling,Data science,Data mining,Financial statement,Computer science,Artificial intelligence,Investment management,Accounting management,Data visualization,Visualization,Public offering,Finance,Financial management,Machine learning
Conference
ISBN
Citations 
PageRank 
978-0-7695-3580-7
0
0.34
References 
Authors
5
3
Name
Order
Citations
PageRank
Tzu-Fu Chiu1249.15
Chao-Fu Hong25915.96
Yu-Ting Chiu3558.52