Kyong Joo Oh

Publication Activity (10 Years)

Years Active: 2001-2023
Publications (10 Years): 7

Top Topics

Technical Indicators

Genetic Algorithm

Foreign Exchange

Top Venues

Appl. Soft Comput.

Expert Syst. Appl.

Intell. Data Anal.

Expert Syst. J. Knowl. Eng.

Publications

Sang Hoe Kim, Jun Shin Park, Hee Soo Lee, Sanghyuk Yoo, Kyong Joo Oh
Combining CNN and Grad-CAM for profitability and explainability of investment strategy: Application to the KOSPI 200 futures. Expert Syst. Appl. 225 (2023)
Hyun Wook Lim, Seung Hwan Jeong, Kyong Joo Oh, Hee Soo Lee
Neural network foreign exchange trading system using CCS-IRS basis: Empirical evidence from Korea. Expert Syst. Appl. 205 (2022)
Donghyun Cheong, Young Min Kim, Hyun Woo Byun, Kyong Joo Oh, Tae Yoon Kim
Using genetic algorithm to support clustering-based portfolio optimization by investor information. Appl. Soft Comput. 61 (2017)
Youngmin Kim, Wonbin Ahn, Kyong Joo Oh, David Enke
An intelligent hybrid trading system for discovering trading rules for the futures market using rough sets and genetic algorithms. Appl. Soft Comput. 55 (2017)
Hyun Woo Byun, Seungho Baek, Jae Joon Ahn, Kyong Joo Oh, Tae Yoon Kim
Using a principal component analysis for multi-currencies-trading in the foreign exchange market. Intell. Data Anal. 19 (3) (2015)
Young Min Kim, Sung Kwon Han, Tae Yoon Kim, Kyong Joo Oh, Zhiming Luo, Chiho Kim
Intelligent stock market instability index: Application to the Korean stock market. Intell. Data Anal. 19 (4) (2015)
Sung Kwon Han, Jae Joon Ahn, Kyong Joo Oh, Tae Yoon Kim
A new methodology for carbon price forecasting in EU ETS. Expert Syst. J. Knowl. Eng. 32 (2) (2015)
Sangjae Lee, Wanki Kim, Young Min Kim, Kyong Joo Oh
Using AHP to determine intangible priority factors for technology transfer adoption. Expert Syst. Appl. 39 (7) (2012)
Jae Joon Ahn, Hyun Woo Byun, Kyong Joo Oh, Tae Yoon Kim
Using ridge regression with genetic algorithm to enhance real estate appraisal forecasting. Expert Syst. Appl. 39 (9) (2012)
Jae Joon Ahn, Dong Ha Kim, Kyong Joo Oh, Tae Yoon Kim
Applying option Greeks to directional forecasting of implied volatility in the options market: An intelligent approach. Expert Syst. Appl. 39 (10) (2012)
Jae Joon Ahn, Hyun Woo Byun, Kyong Joo Oh, Tae Yoon Kim
Bayesian forecaster using class-based optimization. Appl. Intell. 36 (3) (2012)
Suk Jun Lee, Kyong Joo Oh, Tae Yoon Kim
How many reference patterns can improve profitability for real-time trading in futures market? Expert Syst. Appl. 39 (8) (2012)
Jae Joon Ahn, Kyong Joo Oh, Tae Yoon Kim, Dong Ha Kim
Usefulness of support vector machine to develop an early warning system for financial crisis. Expert Syst. Appl. 38 (4) (2011)
Joonhong Park, Dongwon Ki, Kangsuk Kim, Suk Jun Lee, Dong Ha Kim, Kyong Joo Oh
Using decision tree to develop a soil ecological quality assessment system for planning sustainable construction. Expert Syst. Appl. 38 (5) (2011)
Jae Joon Ahn, Il Suh Son, Kyong Joo Oh, Tae Yoon Kim, Gyu Moon Song
forecasting and machine-learning algorithms. Expert Syst. J. Knowl. Eng. 28 (3) (2011)
Hyunchul Ahn, Jae Joon Ahn, Hyun Woo Byun, Kyong Joo Oh
A novel customer scoring model to encourage the use of mobile value added services. Expert Syst. Appl. 38 (9) (2011)
Hyunchul Ahn, Jae Joon Ahn, Hyun Woo Byun, Kyong Joo Oh
Corrigendum to "A novel customer scoring model to encourage the use of mobile value added services" [Expert Systems with Applications 38 (2011) 11693-11700]. Expert Syst. Appl. 38 (10) (2011)
Hyunchul Ahn, Jae Joon Ahn, Kyong Joo Oh, Dong Ha Kim
Facilitating cross-selling in a mobile telecom market to develop customer classification model based on hybrid data mining techniques. Expert Syst. Appl. 38 (5) (2011)
Suk Jun Lee, Jae Joon Ahn, Kyong Joo Oh, Tae Yoon Kim
Using rough set to support investment strategies of real-time trading in futures market. Appl. Intell. 32 (3) (2010)
Hyunchul Ahn, Chi Woo Song, Jae Joon Ahn, Hyoung Yong Lee, Tae Yoon Kim, Kyong Joo Oh
Using Hybrid Data Mining Techniques for Facilitating Cross-Selling of a Mobile Telecom Market to Develop Customer Classification Model. HICSS (2010)
Jae Joon Ahn, Suk Jun Lee, Kyong Joo Oh, Tae Yoon Kim
Intelligent forecasting for financial time series subject to structural changes. Intell. Data Anal. 13 (1) (2009)
Dong Ha Kim, Suk Jun Lee, Kyong Joo Oh, Tae Yoon Kim
An early warning system for financial crisis using a stock market instability index. Expert Syst. J. Knowl. Eng. 26 (3) (2009)
Il Suh Son, Kyong Joo Oh, Tae Yoon Kim, Chiho Kim, Jong-Du Do
Stock market stability index: An intelligent approach. Intell. Data Anal. 13 (6) (2009)
Namgyu Kim, Han Seok Lee, Kyong Joo Oh, Jae Young Choi
Context-aware mobile service for routing the fastest subway path. Expert Syst. Appl. 36 (2) (2009)
Suk Jun Lee, Jae Joon Ahn, Kyong Joo Oh, Tae Yoon Kim, Hyoung Yong Lee, Chi Woo Song
Using Rough Set to Support Investment Strategies of Rule-Based Trading with Real-Time Data in Futures Market. HICSS (2009)
Il Suh Son, Kyong Joo Oh, Tae Yoon Kim, Dong Ha Kim
An early warning system for global institutional investors at emerging stock markets based on machine learning forecasting. Expert Syst. Appl. 36 (3) (2009)
Jae Joon Ahn, Suk Jun Lee, Kyong Joo Oh, Tae Yoon Kim, Hyoung Yong Lee, Min Sik Kim
Machine Learning Algorithm Selection for Forecasting Behavior of Global Institutional Investors. HICSS (2009)
Kyong Joo Oh, Tae Yoon Kim
Financial market monitoring by case-based reasoning. Expert Syst. Appl. 32 (3) (2007)
Kyong Joo Oh, Tae Yoon Kim, Sung-Hwan Min, Hyoung Yong Lee
Portfolio algorithm based on portfolio beta using genetic algorithm. Expert Syst. Appl. 30 (3) (2006)
Kyong Joo Oh, Tae Yoon Kim, Chiho Kim
An early warning system for detection of financial crisis using financial market volatility. Expert Syst. J. Knowl. Eng. 23 (2) (2006)
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. Australian Conference on Artificial Intelligence (2006)
Kyong Joo Oh, Tae Yoon Kim, Hyoung Yong Lee, Hakbae Lee
Using Neural Networks to Support Early Warning System for Financial Crisis Forecasting. Australian Conference on Artificial Intelligence (2005)
Kyong Joo Oh, Myung Sang Moon, Tae Yoon Kim
Variance change point detection via artificial neural networks for data separation. Neurocomputing 68 (2005)
Kyong Joo Oh, Tae Yoon Kim, Sungky Min
Using genetic algorithm to support portfolio optimization for index fund management. Expert Syst. Appl. 28 (2) (2005)
Kyong Joo Oh, Tae Hyup Roh, Myung Sang Moon
Developing Time-Based Clustering Neural Networks to Use Change-Point Detection: Application to Financial Time Series. Asia Pac. J. Oper. Res. 22 (1) (2005)
Tae Yoon Kim, Kyong Joo Oh, Insuk Sohn, Changha Hwang
Usefulness of artificial neural networks for early warning system of economic crisis. Expert Syst. Appl. 26 (4) (2004)
Tae Yoon Kim, Kyong Joo Oh, Chiho Kim, Jong Doo Do
Artificial neural networks for non-stationary time series. Neurocomputing 61 (2004)
Tae Hyup Roh, Kyong Joo Oh, Ingoo Han
The collaborative filtering recommendation based on SOM cluster-indexing CBR. Expert Syst. Appl. 25 (3) (2003)
Tae Hyup Roh, Kyong Joo Oh, Ingoo Han
A Cluster-indexing CBR Model for Collaborative Filtering Recommendation. PACIS (2003)
Kyong Joo Oh, Kyoung-jae Kim
Piecewise nonlinear model for financial time series forecasting with artificial neural networks. Intell. Data Anal. 6 (2) (2002)
Kyong Joo Oh, Kyoung-jae Kim
Analyzing stock market tick data using piecewise nonlinear model. Expert Syst. Appl. 22 (3) (2002)
Kyong Joo Oh, Ingoo Han
An Intelligent Clustering Forecasting System based on Change-Point Detection and Artificial Neural Networks: Application to Financial Economics. HICSS (2001)