K. Oh

发表

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

Keunje Yoo, S. K. Shukla, Joonhong Park, 2016 .

Using GA-Ridge regression to select hydro-geological parameters influencing groundwater pollution vulnerability

Keunje Yoo, Joonhong Park, J. Ahn, 2012, Environmental Monitoring and Assessment.

Decision-Tree-based data mining and rule induction for predicting and mapping soil bacterial diversity

Il Suh Son, Keunje Yoo, Joonhong Park, 2011, Environmental monitoring and assessment.

Momentum Investment Strategy Using a Hidden Markov Model

K. Oh, Hosun Ryou, Hanhee Bae, 2020, Sustainability.

An intelligent early warning system for forecasting abnormal investment trends of foreign investors

K. Oh, Young Min Kim, 2013 .

Artificial Neural Networks supported by Change-Point Detection for Interest Rates Forecasting

Ingoo Han, K. Oh, 2000 .

A Machine Learning Portfolio Allocation System for IPOs in Korean Markets Using GA-Rough Set Theory

K. Oh, Hee Soo Lee, Jiwoo Kim, 2019 .

Using Machine Learning and Statistical Classifiers to establish an Early Warning System for forecasting Abnormal Investment Trend of Global Institutional Investors in Emerging Stock Markets

Tae Yoon Kim, Il Suh Son, K. Oh, 2007 .

Using Rough Set to support Real Time Investment Strategies in Futures Market

Tae Yoon Kim, K. Oh, S. Lee, 2007 .

Artificial Neural Networks for Interest Rate Forecasting based on Structural Change : A Comparative Analysis of Data Mining Classifiers 1 )

K. Oh, 2003 .

Using rough set to develop a volatility reverting strategy in options market

K. Oh, Y. Kang, 2013 .

Using genetic algorithm to optimize rough set strategy in KOSPI200 futures market

Seung Chung, K. Oh, 2014 .

Using rough set to develop the optimization strategy of evolving time-division trading in the futures market

K. Oh, Hyun-Ho Kim, 2012 .

Using Genetic Algorithm to develop Portfolio Algorithm based on Portfolio Beta

K. Oh, H. Lee, Dong Uk Kim, 2005 .

Using Genetic Algorithms to Develop a Dynamic Guaranteed Option Hedge System

K. Oh, Hee Soo Lee, S. Jeong, 2019, Sustainability.

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

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

Chaos analysis of real estate auction sale price rate time series

K. Oh, Jiwoo Kim, Hyun Jun Lee, 2017 .

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 .

A Bayesian Approach for a Stock Market Instability Index : Application to the Korean Stock Market

Tae Yoon Kim, J. Ahn, K. Oh, 2013 .

Using rough set to support arbitrage box spread strategies in KOSPI 200 option markets

K. Oh, M. Kim, 2011 .

금융위기의 조기경보를 위한 주식시장 안정성 지수의 개발 (Stock Market Stability Index for Early Warning System of Financial Crisis)

K. Oh, Tae Yoon Kim, 2007 .

The use of Case-Based Reasoning for Financial Market Monitoring

Tae Yoon Kim, K. Oh, S. Han, 2006 .

The collaborative filtering recommendation based on SOM cluster-indexing CBR

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

A Cluster-indexing CBR Model for Collaborative Filtering Recommendation

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

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

Kyong Joo Oh, K. Oh, 2003 .

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.

Using fuzzy-neural network to predict hedge fund survival

K. Oh, Kwang Jae Lee, Hyun Lee, 2015 .

Intelligent forecasting for financial time series subject to structural changes

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

Analyzing Stock Market Tick Data Using Piecewise Nonlinear Model

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

Using change-point detection to support artificial neural networks for interest rates forecasting

Ingoo Han, Kyong Jo Oh, Ingoo Han, 2000 .

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..

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..

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..

Variance change point detection via artificial neural networks for data separation

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

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 .

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

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

Financial market monitoring by case-based reasoning

Tae Yoon Kim, Kyong Joo Oh, K. Oh, 2007, 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..

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..

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..

Multi-currencies portfolio strategy using principal component analysis and logistic regression

J. Ahn, K. Oh, K. Shim, 2012 .

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 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 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..

Using AHP to determine intangible priority factors for technology transfer adoption

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

Yield curve risks in currency carry forwards

K. Oh, J. Lee, Seungho Baek, 2020 .

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

Kyong Joo Oh, Jun Kang, Hee Soo Lee, 2020, 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 genetic algorithm to support portfolio optimization for index fund management

Tae Yoon Kim, Kyong Joo Oh, Sungky Min, 2005, 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..

Artificial neural networks for non-stationary time series

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

Bayesian forecaster using class-based optimization

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

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.

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.

Pattern Matching Trading System Based on the Dynamic Time Warping Algorithm

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

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.

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..

Analyzing stock market tick data using piecewise nonlinear model

Kyoung-jae Kim, K. Oh, 2002, Expert Syst. Appl..

Portfolio algorithm based on portfolio beta using genetic algorithm

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

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..