Kyong Joo Oh

According to our database, Kyong Joo Oh authored at least 42 papers between 2001 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Combining CNN and Grad-CAM for profitability and explainability of investment strategy: Application to the KOSPI 200 futures.

Sang Hoe Kim, Jun Shin Park, Hee Soo Lee, Sanghyuk Yoo, Kyong Joo Oh

Expert Syst. Appl., September, 2023

2022

Neural network foreign exchange trading system using CCS-IRS basis: Empirical evidence from Korea.

Hyun Wook Lim, Seung Hwan Jeong, Kyong Joo Oh, Hee Soo Lee

Expert Syst. Appl., 2022

2017

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

Young Min Kim, Wonbin Ahn, Kyong Joo Oh, David Enke

Appl. Soft Comput., 2017

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

Donghyun Cheong, Young Min Kim, Hyun Woo Byun, Kyong Joo Oh, Tae Yoon Kim

Appl. Soft Comput., 2017

2015

Intelligent stock market instability index: Application to the Korean stock market.

Young Min Kim, Sung Kwon Han, Tae Yoon Kim, Kyong Joo Oh, Zhiming Luo, Chiho Kim

Intell. Data Anal., 2015

Using a principal component analysis for multi-currencies-trading in the foreign exchange market.

Hyun Woo Byun, Seungho Baek, Jae Joon Ahn, Kyong Joo Oh, Tae Yoon Kim

Intell. Data Anal., 2015

A new methodology for carbon price forecasting in EU ETS.

Sung Kwon Han, Jae Joon Ahn, Kyong Joo Oh, Tae Yoon Kim

Expert Syst. J. Knowl. Eng., 2015

2012

How many reference patterns can improve profitability for real-time trading in futures market?

Suk Jun Lee, Kyong Joo Oh, Tae Yoon Kim

Expert Syst. Appl., 2012

Using AHP to determine intangible priority factors for technology transfer adoption.

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

Expert Syst. Appl., 2012

Applying option Greeks to directional forecasting of implied volatility in the options market: An intelligent approach.

Jae Joon Ahn, Dong Ha Kim, Kyong Joo Oh, Tae Yoon Kim

Expert Syst. Appl., 2012

Using ridge regression with genetic algorithm to enhance real estate appraisal forecasting.

Jae Joon Ahn, Hyun Woo Byun, Kyong Joo Oh, Tae Yoon Kim

Expert Syst. Appl., 2012

Bayesian forecaster using class-based optimization.

Jae Joon Ahn, Hyun Woo Byun, Kyong Joo Oh, Tae Yoon Kim

Appl. Intell., 2012

2011

Using decision tree to develop a soil ecological quality assessment system for planning sustainable construction.

Joonhong Park, Dongwon Ki, Kangsuk Kim, Suk Jun Lee, Dong Ha Kim, Kyong Joo Oh

Expert Syst. Appl., 2011

Usefulness of support vector machine to develop an early warning system for financial crisis.

Jae Joon Ahn, Kyong Joo Oh, Tae Yoon Kim, Dong Ha Kim

Expert Syst. Appl., 2011

Facilitating cross-selling in a mobile telecom market to develop customer classification model based on hybrid data mining techniques.

Hyunchul Ahn, Jae Joon Ahn, Kyong Joo Oh, Dong Ha Kim

Expert Syst. Appl., 2011

Corrigendum to "A novel customer scoring model to encourage the use of mobile value added services" [Expert Systems with Applications 38 (2011) 11693-11700].

Hyunchul Ahn, Jae Joon Ahn, Hyun Woo Byun, Kyong Joo Oh

Expert Syst. Appl., 2011

A novel customer scoring model to encourage the use of mobile value added services.

Hyunchul Ahn, Jae Joon Ahn, Hyun Woo Byun, Kyong Joo Oh

Expert Syst. Appl., 2011

Lag-<i>ℓ</i> forecasting and machine-learning algorithms.

Jae Joon Ahn, Il Suh Son, Kyong Joo Oh, Tae Yoon Kim, Gyu Moon Song

Expert Syst. J. Knowl. Eng., 2011

2010

Using rough set to support investment strategies of real-time trading in futures market.

Suk Jun Lee, Jae Joon Ahn, Kyong Joo Oh, Tae Yoon Kim

Appl. Intell., 2010

Using Hybrid Data Mining Techniques for Facilitating Cross-Selling of a Mobile Telecom Market to Develop Customer Classification Model.

Hyunchul Ahn, Chi Woo Song, Jae Joon Ahn, Hyoung Yong Lee, Tae Yoon Kim, Kyong Joo Oh

Proceedings of the 43rd Hawaii International International Conference on Systems Science (HICSS-43 2010), 2010

2009

Stock market stability index: An intelligent approach.

Il Suh Son, Kyong Joo Oh, Tae Yoon Kim, Chiho Kim, Jong-Du Do

Intell. Data Anal., 2009

Intelligent forecasting for financial time series subject to structural changes.

Jae Joon Ahn, Suk Jun Lee, Kyong Joo Oh, Tae Yoon Kim

Intell. Data Anal., 2009

An early warning system for global institutional investors at emerging stock markets based on machine learning forecasting.

Il Suh Son, Kyong Joo Oh, Tae Yoon Kim, Dong Ha Kim

Expert Syst. Appl., 2009

Context-aware mobile service for routing the fastest subway path.

Namgyu Kim, Han Seok Lee, Kyong Joo Oh, Jae Young Choi

Expert Syst. Appl., 2009

An early warning system for financial crisis using a stock market instability index.

Dong Ha Kim, Suk Jun Lee, Kyong Joo Oh, Tae Yoon Kim

Expert Syst. J. Knowl. Eng., 2009

Using Rough Set to Support Investment Strategies of Rule-Based Trading with Real-Time Data in Futures Market.

Suk Jun Lee, Jae Joon Ahn, Kyong Joo Oh, Tae Yoon Kim, Hyoung Yong Lee, Chi Woo Song

Proceedings of the 42st Hawaii International International Conference on Systems Science (HICSS-42 2009), 2009

Machine Learning Algorithm Selection for Forecasting Behavior of Global Institutional Investors.

Jae Joon Ahn, Suk Jun Lee, Kyong Joo Oh, Tae Yoon Kim, Hyoung Yong Lee, Min Sik Kim

Proceedings of the 42st Hawaii International International Conference on Systems Science (HICSS-42 2009), 2009

2007

Financial market monitoring by case-based reasoning.

Kyong Joo Oh, Tae Yoon Kim

Expert Syst. Appl., 2007

2006

Portfolio algorithm based on portfolio beta using genetic algorithm.

Kyong Joo Oh, Tae Yoon Kim, Sung-Hwan Min, Hyoung Yong Lee

Expert Syst. Appl., 2006

An early warning system for detection of financial crisis using financial market volatility.

Kyong Joo Oh, Tae Yoon Kim, Chiho Kim

Expert Syst. J. Knowl. Eng., 2006

Using Neural Networks to Tune the Fluctuation of Daily Financial Condition Indicator for Financial Crisis Forecasting.

Kyong Joo Oh, Tae Yoon Kim, Chiho Kim, Suk Jun Lee

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Variance change point detection via artificial neural networks for data separation.

Kyong Joo Oh, Myung Sang Moon, Tae Yoon Kim

Neurocomputing, 2005

Using genetic algorithm to support portfolio optimization for index fund management.

Kyong Joo Oh, Tae Yoon Kim, Sungky Min

Expert Syst. Appl., 2005

Developing Time-Based Clustering Neural Networks to Use Change-Point Detection: Application to Financial Time Series.

Kyong Joo Oh, Tae Hyup Roh, Myung Sang Moon

Asia Pac. J. Oper. Res., 2005

Using Neural Networks to Support Early Warning System for Financial Crisis Forecasting.

Kyong Joo Oh, Tae Yoon Kim, Hyoung Yong Lee, Hakbae Lee

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004

Artificial neural networks for non-stationary time series.

Tae Yoon Kim, Kyong Joo Oh, Chiho Kim, Jong Doo Do

Neurocomputing, 2004

Usefulness of artificial neural networks for early warning system of economic crisis.

Tae Yoon Kim, Kyong Joo Oh, Insuk Sohn, Changha Hwang

Expert Syst. Appl., 2004

2003

The collaborative filtering recommendation based on SOM cluster-indexing CBR.

Tae Hyup Roh, Kyong Joo Oh, Ingoo Han

Expert Syst. Appl., 2003

A Cluster-indexing CBR Model for Collaborative Filtering Recommendation.

Tae Hyup Roh, Kyong Joo Oh, Ingoo Han

Proceedings of the Seventh Pacific Asia Conference on Information Systems, 2003

2002

Piecewise nonlinear model for financial time series forecasting with artificial neural networks.

Kyong Joo Oh, Kyoung-Jae Kim

Intell. Data Anal., 2002

Analyzing stock market tick data using piecewise nonlinear model.

Kyong Joo Oh, Kyoung-Jae Kim

Expert Syst. Appl., 2002

2001

An Intelligent Clustering Forecasting System based on Change-Point Detection and Artificial Neural Networks: Application to Financial Economics.

Kyong Joo Oh, Ingoo Han

Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001