Jae Joon Ahn

Orcid: 0000-0001-7974-8027

According to our database1, Jae Joon Ahn authored at least 17 papers between 2009 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2019
An Intelligent Product Recommendation Model to Reflect the Recent Purchasing Patterns of Customers.
Mob. Networks Appl., 2019

Is Deep Learning for Image Recognition Applicable to Stock Market Prediction?
Complex., 2019

2015
Using a principal component analysis for multi-currencies-trading in the foreign exchange market.
Intell. Data Anal., 2015

A new methodology for carbon price forecasting in EU ETS.
Expert Syst. J. Knowl. Eng., 2015

2012
Applying option Greeks to directional forecasting of implied volatility in the options market: An intelligent approach.
Expert Syst. Appl., 2012

Using ridge regression with genetic algorithm to enhance real estate appraisal forecasting.
Expert Syst. Appl., 2012

Bayesian forecaster using class-based optimization.
Appl. Intell., 2012

2011
Usefulness of support vector machine to develop an early warning system for financial crisis.
Expert Syst. Appl., 2011

Facilitating cross-selling in a mobile telecom market to develop customer classification model based on hybrid data mining techniques.
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].
Expert Syst. Appl., 2011

A novel customer scoring model to encourage the use of mobile value added services.
Expert Syst. Appl., 2011

Lag-<i>ℓ</i> forecasting and machine-learning algorithms.
Expert Syst. J. Knowl. Eng., 2011

2010
Using rough set to support investment strategies of real-time trading in futures market.
Appl. Intell., 2010

Using Hybrid Data Mining Techniques for Facilitating Cross-Selling of a Mobile Telecom Market to Develop Customer Classification Model.
Proceedings of the 43rd Hawaii International International Conference on Systems Science (HICSS-43 2010), 2010

2009
Intelligent forecasting for financial time series subject to structural changes.
Intell. Data Anal., 2009

Using Rough Set to Support Investment Strategies of Rule-Based Trading with Real-Time Data in Futures Market.
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.
Proceedings of the 42st Hawaii International International Conference on Systems Science (HICSS-42 2009), 2009


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