• DocumentCode
    2460238
  • Title

    An Effective Mining Algorithm for Profit Mining

  • Author

    Hsieh, Yu-Lung ; Yang, Don-Lin ; Hsu, Fang Rong

  • Author_Institution
    Dept. of Inf. Eng. & Comput. Sci., Feng Chia Univ., Taichung, Taiwan
  • fYear
    2012
  • fDate
    4-6 June 2012
  • Firstpage
    106
  • Lastpage
    110
  • Abstract
    Association rule mining can be used to discover interesting rules from large databases easily for better decision making in most real world applications except the financial market. This is because the investors are interested in high profit and low risk trading results more than in those of high confidence and high support. Based on a working model of profit mining, we propose an effective algorithm for investors to find trading rules that include information on profit, risk, and win rate. This mining approach works well not only in the stock market, but also in the futures and other markets.
  • Keywords
    data mining; decision making; financial data processing; investment; profitability; risk analysis; stock markets; association rule mining; decision making; financial market; investors; large databases; low risk trading; mining algorithm; profit mining; rule discovery; stock market; trading rules; win rate; Association rules; Equations; Itemsets; Mathematical model; Stock markets; association rule; financial data mining; inter-transaction mining; interday trading; profit mining; risk; win rate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer, Consumer and Control (IS3C), 2012 International Symposium on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-1-4673-0767-3
  • Type

    conf

  • DOI
    10.1109/IS3C.2012.36
  • Filename
    6228259