Kyong Joo Oh

Kyong Joo Oh

Yonsei University

Professor

Department of Information and Industrial engineering

Research Area

  • #Economics
  • #Computer science
  • #Econometrics
  • #Artificial intelligence
  • #Investment strategy
  • #Machine learning
  • #Genetic algorithm
  • #Portfolio
  • #Financial market
  • #Data mining

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Related papers to
‘ Economics ‘ : 6

  • Decision tree-based data mining and rule induction for identifying hydrogeological parameters that influence groundwater pollution sensitivity

    2016/05

    5.7 Impact Factor

    23 citations

    Keunje Yoo, Sudheer Kumar Shukla, Jae Joon Ahn, Kyong Joo Oh, Joonhong Park

    DOI : 10.1016/J.JCLEPRO.2016.01.075

    • #Economics
    • #Data mining
    • #Groundwater
    • #Decision tree
    • #Rule induction
    • #Aquifer
    • #Hydrogeology
    • #Groundwater recharge
    • #Vadose zone
    • #Groundwater pollution

All papers authored by
‘ Kyong Joo Oh ’ : 15

  • An intelligent hybrid trading system for discovering trading rules for the futures market using rough sets and genetic algorithms

    2017/06
    APPLIED SOFT COMPUTING

    3.9 Impact Factor

    23 citations

    Youngmin Kim, Wonbin Ahn, Kyong Joo Oh, David Enke

    DOI : 10.1016/J.ASOC.2017.02.006

    • #Mathematics
    • #Artificial intelligence
    • #Data mining
    • #Machine learning
    • #Genetic algorithm
    • #Decision support system
    • #Stock market
    • #Decision rule
    • #Rough set
    • #Trading strategy
    • #Technical analysis
    • #Electronic trading

Related papers to
‘ Economics ‘ : 6

  • Decision tree-based data mining and rule induction for identifying hydrogeological parameters that influence groundwater pollution sensitivity

    2016/05
    JOURNAL OF CLEANER PRODUCTION

    5.7 Impact Factor

    23 citations

    Keunje Yoo, Sudheer Kumar Shukla, Jae Joon Ahn, Kyong Joo Oh, Joonhong Park

    DOI : 10.1016/J.JCLEPRO.2016.01.075

    • #Economics
    • #Data mining
    • #Groundwater
    • #Decision tree
    • #Rule induction
    • #Aquifer
    • #Hydrogeology
    • #Groundwater recharge
    • #Vadose zone
    • #Groundwater pollution
  • The prioritization and verification of IT emerging technologies using an analytic hierarchy process and cluster analysis

    2014/09
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE

    2.1 Impact Factor

    19 citations

    Sangjae Lee, Wanki Kim, Young Min Kim, Hyoung Yong Lee, Kyong Joo Oh

    DOI : 10.1016/J.TECHFORE.2013.12.029

    • #Economics
    • #Management science
    • #Emerging technologies
    • #Analytic hierarchy process
    • #Prioritization
    • #Technology forecasting
    • #Analytic network process

Get access to
Contact information

Log in

All papers authored by
‘ Kyong Joo Oh ’ : 15

  • An intelligent hybrid trading system for discovering trading rules for the futures market using rough sets and genetic algorithms

    2017/06
    APPLIED SOFT COMPUTING

    3.9 Impact Factor

    23 citations

    Youngmin Kim, Wonbin Ahn, Kyong Joo Oh, David Enke

    DOI : 10.1016/J.ASOC.2017.02.006

    • #Mathematics
    • #Artificial intelligence
    • #Data mining
    • #Machine learning
    • #Genetic algorithm
    • #Decision support system
    • #Stock market
    • #Decision rule
    • #Rough set
    • #Trading strategy
    • #Technical analysis
    • #Electronic trading
  • Decision tree-based data mining and rule induction for identifying hydrogeological parameters that influence groundwater pollution sensitivity

    2016/05
    JOURNAL OF CLEANER PRODUCTION

    5.7 Impact Factor

    23 citations

    Keunje Yoo, Sudheer Kumar Shukla, Jae Joon Ahn, Kyong Joo Oh, Joonhong Park

    DOI : 10.1016/J.JCLEPRO.2016.01.075

    • #Economics
    • #Data mining
    • #Groundwater
    • #Decision tree
    • #Rule induction
    • #Aquifer
    • #Hydrogeology
    • #Groundwater recharge
    • #Vadose zone
    • #Groundwater pollution

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