Kyong Joo Oh

发表

An intelligent clustering forecasting system based on change-point detection and artificial neural networks: application to financial economics

Kyong Joo Oh, Ingoo Han, Ingoo Han, 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

A new methodology for carbon price forecasting in EU ETS

Sung Kwon Han, Tae Yoon Kim, Kyong Joo Oh, 2015, Expert Syst. J. Knowl. Eng..

Analyzing Stock Market Tick Data Using Piecewise Nonlinear Model

Kyong Joo Oh, Kyoung-jae Kim, Kyoung-jae Kim, 2022 .

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

Tae Yoon Kim, Kyong Joo Oh, Jae Joon Ahn, 2010, 2010 43rd Hawaii International Conference on System Sciences.

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

Tae Yoon Kim, Kyong Joo Oh, Jae Joon Ahn, 2009, 2009 42nd Hawaii International Conference on System Sciences.

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

Tae Yoon Kim, Kyong Joo Oh, Jae Joon Ahn, 2015, Intell. Data Anal..

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

Young Min Kim, Tae Yoon Kim, Kyong Joo Oh, 2017, Appl. Soft Comput..

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

Kyong Joo Oh, Jae Joon Ahn, Hyunchul Ahn, 2011, Expert Syst. Appl..

Stock market stability index: An intelligent approach

Tae Yoon Kim, Kyong Joo Oh, Chiho Kim, 2009, Intell. Data Anal..

The dual analytic hierarchy process to prioritize emerging technologies

Sung Kwon Han, Tae Yoon Kim, Kyong Joo Oh, 2010 .

Machine Learning Algorithm Selection for Forecasting Behavior of Global Institutional Investors

Kyong Joo Oh, Tae Yoon Kim, Jae Joon Ahn, 2009 .

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

Tae Yoon Kim, Kyong Joo Oh, Jae Joon Ahn, 2011, Expert Syst. Appl..

The usefulness of overfitting via artificial neural networks for non-stationary time series

Kyong Joo Oh, Jae Joon Ahn, Tae Yoon Kim, 2006 .

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

Tae Yoon Kim, Kyong Joo Oh, Jae Joon Ahn, 2012, Expert Syst. Appl..

Variance change point detection via artificial neural networks for data separation

Tae Yoon Kim, Kyong Joo Oh, Myung Sang Moon, 2005, Neurocomputing.

Using genetic algorithm to support portfolio optimization for index fund management

Tae Yoon Kim, Kyong Joo Oh, Sungky Min, 2005, Expert Syst. Appl..

Asset Allocation Model for a Robo-Advisor Using the Financial Market Instability Index and Genetic Algorithms

Kyong Joo Oh, Hee Soo Lee, Wonbin Ahn, 2020, Sustainability.

Using Artificial Neural Networks to detect Variance Change Point for Data Separation

Kyong Joo Oh, Tae Yoon Kim, Young Chul Han, 2006 .

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

Tae Yoon Kim, Kyong Joo Oh, Jae Joon Ahn, 2012, Expert Syst. Appl..

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

Tae Yoon Kim, Kyong Joo Oh, Suk Jun Lee, 2012, Expert Syst. Appl..

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

Kyong Joo Oh, Youngmin Kim, David Enke, 2017, Appl. Soft Comput..

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, 2005, Asia Pac. J. Oper. Res..

Using Analytic Hierarchy Process to Develop Prioritization and Selection of High Technology base on Knowledge Management

Sung Kwon Han, Kyong Joo Oh, Hyunchul Ahn, 2007 .

Using classification function to integrate discriminant analysis, logistic regression and backpropagation neural networks for interest rates forecasting

Kyong Joo Oh, Ingoo Han, Ingoo Han, 2000 .

The prioritization and verification of IT emerging technologies using an analytic hierarchy process and cluster analysis

Kyong Joo Oh, Young Min Kim, Sangjae Lee, 2014 .

Developing a Forecasting Model for Real Estate Auction Prices Using Artificial Intelligence

Kyong Joo Oh, Jun Kang, Hee Soo Lee, 2020, Sustainability.

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

Kyong Joo Oh, Kyoung-jae Kim, Kyoung-jae Kim, 2002, Intell. Data Anal..

Finding the optimal route of the subway systemusing context-aware

Kyong Joo Oh, Jae Young Choi, Nam Gyu Kim, 2007 .

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

Kyong Joo Oh, Joonhong Park, Suk Jun Lee, 2011, Expert Syst. Appl..

Segmentation Strategy for Asset Groups in the Korean Exchange-Traded Funds Market Using Genetic Algorithm

Kyong Joo Oh, 고한준, 2019 .

A Multi-layered Prioritization Scheme for Emerging IT Technologies for Constructing a National Technology Road Map

Kyong Joo Oh, Namgyu Kim, Wan-Ki Kim, 2009 .

Using Evolutionary Optimization to Support Artificial Neural Networks for Time-Divided Forecasting: Application to Korea Stock Price Index

Kyong Joo Oh, K. Oh, 2003 .

Using AI to develop forecasting model in IPO market

Kyong Joo Oh, Seung Hwan Jung, Deuk Hwan Cho, 2020 .

Using AHP to determine intangible priority factors for technology transfer adoption

Young Min Kim, Kyong Joo Oh, Sangjae Lee, 2012, Expert Syst. Appl..

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

Tae Yoon Kim, Kyong Joo Oh, Jae Joon Ahn, 2010, Applied Intelligence.

Using Support Vector Machine to Development Early Warning System for Financial Crisis

Tae Yoon Kim, Kyong Joo Oh, Jae Joon Ahn, 2007 .

Intelligent forecasting for financial time series subject to structural changes

Tae Yoon Kim, Kyong Joo Oh, Jae Joon Ahn, 2009, Intell. Data Anal..

Portfolio algorithm based on portfolio beta using genetic algorithm

Tae Yoon Kim, Kyong Joo Oh, Hyoung Yong Lee, 2006, Expert Syst. Appl..

Artificial neural networks for non-stationary time series

Tae Yoon Kim, Kyong Joo Oh, Chiho Kim, 2004, Neurocomputing.

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

Tae Yoon Kim, Kyong Joo Oh, Chiho Kim, 2006, Australian Conference on Artificial Intelligence.

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

Tae Yoon Kim, Kyong Joo Oh, Dong Ha Kim, 2009, Expert Syst. Appl..

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

Tae Yoon Kim, Kyong Joo Oh, Chiho Kim, 2006, Expert Syst. J. Knowl. Eng..

Context-aware mobile service for routing the fastest subway path

Kyong Joo Oh, Namgyu Kim, Jae Young Choi, 2009, Expert Syst. Appl..

Pattern Matching Trading System Based on the Dynamic Time Warping Algorithm

Kyong Joo Oh, Hyun Woo Byun, Sang Hyuk Kim, 2018, Sustainability.

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

Tae Yoon Kim, Kyong Joo Oh, Insuk Sohn, 2004, Expert Syst. Appl..

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

Tae Yoon Kim, Kyong Joo Oh, Hyoung Yong Lee, 2005, Australian Conference on Artificial Intelligence.

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

Kyong Joo Oh, Jae Joon Ahn, Hyunchul Ahn, 2011, Expert Syst. Appl..

Predicting Debt Default of P2P Loan Borrowers Using Self-Organizing Map

Kyong Joo Oh, Seung Hyun Kim, Dong Won Lee, 2019 .

Financial market monitoring by case-based reasoning

Tae Yoon Kim, Kyong Joo Oh, K. Oh, 2007, Expert Syst. Appl..

Neural Network Forecasting Using Data Mining Classifiers Based on Structural Change: Application to Stock Price Index

Kyong Joo Oh, In Goo Han, 2001 .

Machine Learning Algorithm Selection for Forecasting Behavior of Global Institutional Investors

Tae Yoon Kim, Kyong Joo Oh, Min Sik Kim, 2009, 2009 42nd Hawaii International Conference on System Sciences.

Early Warning System for Financial Crisis: Statistical Classification Approach

Kyong Joo Oh, Young Min Kim, Tae Yoon Kim, 2014 .

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

Kyong Joo Oh, Jae Joon Ahn, Hyunchul Ahn, 2011, Expert Syst. Appl..

Bayesian forecaster using class-based optimization

Tae Yoon Kim, Kyong Joo Oh, Jae Joon Ahn, 2012, Applied Intelligence.

사례기반추론을 활용한 일별 경제상황 판단지수의 구축방법론

Kyong Joo Oh, Tae Yoon Kim, 2005 .

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

Kyong Joo Oh, Youngmin Kim, Donghyun Cheong, 2019 .

Scoring model to determine trade timing based on genetic algorithm

Kyong Joo Oh, Kyung Sup Kim, Seung Hwan Jeong, 2018 .

Lag-ℓ forecasting and machine-learning algorithms

Tae Yoon Kim, Kyong Joo Oh, Jae Joon Ahn, 2011, Expert Syst. J. Knowl. Eng..

A Cluster-indexing CBR Model for Collaborative Filtering Recommendation

Kyong Joo Oh, Ingoo Han, Tae Hyup Roh, 2003, PACIS.

Using factor analysis to develop verification process of IT emerging technologies

Kyong Joo Oh, Wan Ki Kim, W. Kim, 2010, 4th International Conference on New Trends in Information Science and Service Science.

An integrated approach using change-point detection and artificial neural networks for interest rates forecasting

Kyong Joo Oh, Ingoo Han, Ingoo Han, 2000 .

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

Tae Yoon Kim, Kyong Joo Oh, Suk Jun Lee, 2009, Expert Syst. J. Knowl. Eng..

The collaborative filtering recommendation based on SOM cluster-indexing CBR

Kyong Joo Oh, Ingoo Han, Tae Hyup Roh, 2003, Expert Syst. Appl..

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

Tae Yoon Kim, Kyong Joo Oh, Jae Joon Ahn, 2009 .