Kyong Joo Oh

	2009
17		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: 1-10
16		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: 1-9
15		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): 3319-3326 (2009)
14		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): 4951-4957 (2009)
13		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): 151-163 (2009)
	2007
12		Kyong Joo Oh, Tae Yoon Kim: Financial market monitoring by case-based reasoning. Expert Syst. Appl. 32(3): 789-800 (2007)
	2006
11		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: 607-616
10		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): 527-534 (2006)
	2005
9		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: 284-296
8		Kyong Joo Oh, Tae Yoon Kim, Sungky Min: Using genetic algorithm to support portfolio optimization for index fund management. Expert Syst. Appl. 28(2): 371-379 (2005)
7		Kyong Joo Oh, Myung Sang Moon, Tae Yoon Kim: Variance change point detection via artificial neural networks for data separation. Neurocomputing 68: 239-250 (2005)
	2004
6		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): 583-590 (2004)
5		Tae Yoon Kim, Kyong Joo Oh, Chiho Kim, Jong Doo Do: Artificial neural networks for non-stationary time series. Neurocomputing 61: 439-447 (2004)
	2003
4		Tae Hyup Roh, Kyong Joo Oh, Ingoo Han: The collaborative filtering recommendation based on SOM cluster-indexing CBR. Expert Syst. Appl. 25(3): 413-423 (2003)
	2002
3		Kyong Joo Oh, Kyoung-jae Kim: Analyzing stock market tick data using piecewise nonlinear model. Expert Syst. Appl. 22(3): 249-255 (2002)
2		Kyong Joo Oh, Kyoung-jae Kim: Piecewise nonlinear model for financial time series forecasting with artificial neural networks. Intell. Data Anal. 6(2): 175-185 (2002)
	2001
1		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

Coauthor Index

1	Jae Joon Ahn	[13] [16] [17]
2	Jae Young Choi	[15]
3	Jong Doo Do	[5]
4	Ingoo Han	[1] [4]
5	Changha Hwang	[6]
6	Chiho Kim	[5] [11]
7	Dong Ha Kim	[14]
8	Kyoung-jae Kim	[2] [3]
9	Min Sik Kim	[16]
10	Namgyu Kim	[15]
11	Tae Yoon Kim	[5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [16] [17]
12	Hakbae Lee	[9]
13	Han Seok Lee	[15]
14	Hyoung Yong Lee	[9] [10] [16] [17]
15	Suk Jun Lee	[11] [13] [16] [17]
16	Sung-Hwan Min	[10]
17	Sungky Min	[8]
18	Myung Sang Moon	[7]
19	Tae Hyup Roh	[4]
20	Insuk Sohn	[6]
21	Il Suh Son	[14]
22	Chi Woo Song	[17]

Colors in the list of coauthors