• DocumentCode
    2698215
  • Title

    Visualizing the Financial Situations and Trends via Chance Discovery

  • Author

    Chiu, Tzu-Fu ; Hong, Chao-Fu ; Chiu, Yu-Ting

  • Author_Institution
    Dept. of Ind. Manage. & Enterprise Inf., Aletheia Univ., Taipei, Taiwan
  • fYear
    2009
  • fDate
    1-3 April 2009
  • Firstpage
    92
  • Lastpage
    97
  • 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.
  • Keywords
    data mining; data visualisation; financial data processing; graph theory; investment; chance discovery; company financial situation visualization method; data mining; financial statement; financial trend detection; investment management; less-professional stakeholder; rule extraction; serial KeyGraph; trend diagram; Computer networks; Computer science; Data mining; Euclidean distance; Feature extraction; Intrusion detection; Machine learning; Mathematics; Robustness; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information and Database Systems, 2009. ACIIDS 2009. First Asian Conference on
  • Conference_Location
    Dong Hoi
  • Print_ISBN
    978-0-7695-3580-7
  • Type

    conf

  • DOI
    10.1109/ACIIDS.2009.39
  • Filename
    5175974