• 890 Citations
  • 17 h-Index
20002019
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Fingerprint Dive into the research topics where Kyong Joo Oh is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Alarm systems Engineering & Materials Science
Neural networks Engineering & Materials Science
Genetic algorithms Engineering & Materials Science
Financial Crisis Mathematics
Early Warning Mathematics
Forecasting Mathematics
Data mining Engineering & Materials Science
Decision trees Engineering & Materials Science

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Research Output 2000 2019

  • 890 Citations
  • 17 h-Index
  • 42 Article
  • 6 Conference contribution
  • 1 Chapter
  • 1 Comment/debate

Using genetic algorithms to develop a dynamic guaranteed option hedge system

Song, H., Han, S. K., Jeong, S. H., Lee, H. S. & Oh, K. J., 2019 Aug 1, In : Sustainability (Switzerland). 11, 15, 4100.

Research output: Contribution to journalArticle

Open Access
genetic algorithm
Genetic algorithms
Insurance
Economics
insurance company

Developing an enhanced portfolio trading system using K-means and genetic algorithms

Ahn, W., Cheong, D., Kim, Y. & Oh, K. J., 2018 Jan 1, In : International Journal of Industrial Engineering : Theory Applications and Practice. 25, p. 559-568 10 p.

Research output: Contribution to journalArticle

Genetic algorithms
Clustering algorithms
3 Citations (Scopus)

Pattern matching trading system based on the dynamic time warping algorithm

Kim, S. H., Lee, H. S., Ko, H. J., Jeong, S. H., Byun, H. W. & Oh, K. J., 2018 Dec 6, In : Sustainability (Switzerland). 10, 12, 4641.

Research output: Contribution to journalArticle

Pattern matching
financial market
investor
market
futures market
3 Citations (Scopus)

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

Kim, Y., Ahn, W., Oh, K. J. & Enke, D., 2017 Jun 1, In : Applied Soft Computing Journal. 55, p. 127-140 14 p.

Research output: Contribution to journalArticle

Genetic algorithms
Experiments
Composite materials
Testing
Financial markets
6 Citations (Scopus)

Using genetic algorithm to support clustering-based portfolio optimization by investor information

Cheong, D., Kim, Y. M., Byun, H. W., Oh, K. J. & Kim, T. Y., 2017 Dec 1, In : Applied Soft Computing Journal. 61, p. 593-602 10 p.

Research output: Contribution to journalArticle

Genetic algorithms
Cluster analysis
Financial markets