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ORCIDJae Joon Ahn
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Journal Articles
- 2019
[j14]Hyun Sik Sim
, Haein Kim, Jae Joon Ahn:
Is Deep Learning for Image Recognition Applicable to Stock Market Prediction? Complex. 2019: 4324878:1-4324878:10 (2019)- [j13]Haein Kim, Geunho Yang, Hosang Jung, Sang Ho Lee, Jae Joon Ahn:
An Intelligent Product Recommendation Model to Reflect the Recent Purchasing Patterns of Customers. Mob. Networks Appl. 24(1): 163-170 (2019) - 2015
- [j12]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): 228-243 (2015) - [j11]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): 683-697 (2015) - 2012
- [j10]Jae Joon Ahn, Hyun Woo Byun, Kyong Joo Oh, Tae Yoon Kim:
Bayesian forecaster using class-based optimization. Appl. Intell. 36(3): 553-563 (2012) - [j9]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): 8369-8379 (2012) - [j8]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): 9315-9322 (2012) - 2011
- [j7]Jae Joon Ahn, Il Suh Son, Kyong Joo Oh, Tae Yoon Kim, Gyu Moon Song:
Lag-ℓ forecasting and machine-learning algorithms. Expert Syst. J. Knowl. Eng. 28(3): 269-282 (2011) - [j6]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): 2966-2973 (2011) - [j5]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): 5005-5012 (2011) - [j4]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): 11693-11700 (2011) - [j3]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): 13493 (2011) - 2010
- [j2]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): 364-377 (2010) - 2009
- [j1]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)
Conference and Workshop Papers
- 2010
- [c3]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: 1-10 - 2009
- [c2]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 - [c1]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
Coauthor Index
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