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Tae Yoon Kim: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Kyong Joo Oh, Tae Yoon Kim, Chiho Kim, Suk Jun Lee
    Using Neural Networks to Tune the Fluctuation of Daily Financial Condition Indicator for Financial Crisis Forecasting. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:607-616 [Conf]
  2. Kyong Joo Oh, Tae Yoon Kim, Hyoung Yong Lee, Hakbae Lee
    Using Neural Networks to Support Early Warning System for Financial Crisis Forecasting. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2005, pp:284-296 [Conf]
  3. Tae Yoon Kim, Kyong Joo Oh, Insuk Sohn, Changha Hwang
    Usefulness of artificial neural networks for early warning system of economic crisis. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2004, v:26, n:4, pp:583-590 [Journal]
  4. Kyong Joo Oh, Tae Yoon Kim, Sung-Hwan Min, Hyoung Yong Lee
    Portfolio algorithm based on portfolio beta using genetic algorithm. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2006, v:30, n:3, pp:527-534 [Journal]
  5. Kyong Joo Oh, Tae Yoon Kim, Sungky Min
    Using genetic algorithm to support portfolio optimization for index fund management. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2005, v:28, n:2, pp:371-379 [Journal]
  6. Kyong Joo Oh, Tae Yoon Kim
    Financial market monitoring by case-based reasoning. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:32, n:3, pp:789-800 [Journal]
  7. Tae Yoon Kim, Kyong Joo Oh, Chiho Kim, Jong Doo Do
    Artificial neural networks for non-stationary time series. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:61, n:, pp:439-447 [Journal]
  8. Kyong Joo Oh, Myung Sang Moon, Tae Yoon Kim
    Variance change point detection via artificial neural networks for data separation. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:68, n:, pp:239-250 [Journal]

  9. Using Rough Set to Support Investment Strategies of Rule-Based Trading with Real-Time Data in Futures Market. [Citation Graph (, )][DBLP]


  10. Machine Learning Algorithm Selection for Forecasting Behavior of Global Institutional Investors. [Citation Graph (, )][DBLP]


  11. Using Hybrid Data Mining Techniques for Facilitating Cross-Selling of a Mobile Telecom Market to Develop Customer Classification Model. [Citation Graph (, )][DBLP]


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