David Enke

According to our database, David Enke authored at least 33 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A novel trading system for the stock market using Deep Q-Network action and instance selection.

Myeongseok Park, Jaeyun Kim, David Enke

Expert Syst. Appl., 2024

Selective genetic algorithm labeling: A new data labeling method for machine learning stock market trading systems.

Yechan Han, Jaeyun Kim, David Enke

Eng. Appl. Artif. Intell., 2024

2023

A machine learning trading system for the stock market based on N-period Min-Max labeling using XGBoost.

Yechan Han, Jaeyun Kim, David Enke

Expert Syst. Appl., January, 2023

2017

A comprehensive cluster and classification mining procedure for daily stock market return forecasting.

Xiao Zhong, David Enke

Neurocomputing, 2017

Forecasting daily stock market return using dimensionality reduction.

Xiao Zhong, David Enke

Expert Syst. Appl., 2017

A relative value trading system based on a correlation and rough set analysis for the foreign exchange futures market.

Sukjun Lee, David Enke, Youngmin Kim

Eng. Appl. Artif. Intell., 2017

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

Young Min Kim, Wonbin Ahn, Kyong Joo Oh, David Enke

Appl. Soft Comput., 2017

2016

Developing a rule change trading system for the futures market using rough set analysis.

Youngmin Kim, David Enke

Expert Syst. Appl., 2016

An adaptive stock index trading decision support system.

Wen-Chyuan Chiang, David Enke, Tong Wu, Renzhong Wang

Expert Syst. Appl., 2016

2015

Optimizing MACD Parameters via Genetic Algorithms for Soybean Futures.

Phoebe S. Wiles, David Enke

Proceedings of the Complex Adaptive Systems 2015 Conference, San Jose, 2015

Noise Canceling in Volatility Forecasting Using an Adaptive Neural Network Filter.

Soheil Almasi Monfared, David Enke

Proceedings of the Complex Adaptive Systems 2015 Conference, San Jose, 2015

Determination of Rule Patterns in Complex Event Processing Using Machine Learning Techniques.

Nijat Mehdiyev, Julian Krumeich, David Enke, Dirk Werth, Peter Loos

Proceedings of the Complex Adaptive Systems 2015 Conference, San Jose, 2015

2014

Interest rate prediction: a neuro-hybrid approach with data preprocessing.

Nijat Mehdiyev, David Enke

Int. J. Gen. Syst., 2014

Nonlinear Modeling Using Neural Networks for Trading the Soybean Complex.

Phoebe S. Wiles, David Enke

Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

Volatility Forecasting Using a Hybrid GJR-GARCH Neural Network Model.

Soheil Almasi Monfared, David Enke

Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

A Hybrid Neuro-fuzzy Model to Forecast Inflation.

David Enke, Nijat Mehdiyev

Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

Part IV: Business and Financial Analytics Preface.

David Enke

Proceedings of the Complex Adaptive Systems 2014 Conference, 2014

2013

Stock Market Prediction Using a Combination of Stepwise Regression Analysis, Differential Evolution-based Fuzzy Clustering, and a Fuzzy Inference Neural Network.

David Enke, Nijat Mehdiyev

Intell. Autom. Soft Comput., 2013

Type-2 Fuzzy Clustering and a Type-2 Fuzzy Inference Neural Network for the Prediction of Short-term Interest Rates.

David Enke, Nijat Mehdiyev

Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

Part I: Adaptive Systems.

David Enke

Proceedings of the Complex Adaptive Systems 2013 Conference, 2013

2012

Preface to Part II Computational Intelligence and Machine Learning.

Rosemary D. Paradis, David Enke

Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

A New Hybrid Approach For Forecasting Interest Rates.

David Enke, Nijat Mehdiyev

Proceedings of the Complex Adaptive Systems 2012 Conference, 2012

Biased trader model and analysis of financial market dynamics.

Nil H. Kilicay-Ergin, David Enke, Cihan H. Dagli

Int. J. Knowl. Based Intell. Eng. Syst., 2012

2011

Stock Market Prediction with Multiple Regression, Fuzzy Type-2 Clustering and Neural Networks.

David Enke, Manfred Grauer, Nijat Mehdiyev

Proceedings of the Complex Adaptive Systems 2011 Conference, 2011

2009

A hybrid stock trading system for intelligent technical analysis-based equivolume charting.

Thira Chavarnakul, David Enke

Neurocomputing, 2009

2008

Intelligent technical analysis based equivolume charting for stock trading using neural networks.

Thira Chavarnakul, David Enke

Expert Syst. Appl., 2008

2007

A hybrid option pricing model using a neural network for estimating volatility.

Sunisa Amornwattana, David Enke, Cihan H. Dagli

Int. J. Gen. Syst., 2007

Analysis of System Behavior Through Cognitive Architectures.

Nil H. Kilicay-Ergin, David Enke, Cihan H. Dagli

Proceedings of the 2007 International Conference on Artificial Intelligence, 2007

2005

The use of data mining and neural networks for forecasting stock market returns.

David Enke, Suraphan Thawornwong

Expert Syst. Appl., 2005

2004

The adaptive selection of financial and economic variables for use with artificial neural networks.

Suraphan Thawornwong, David Enke

Neurocomputing, 2004

An expert advisory system for the ISO 9001 quality system.

Hsien-Tsung Liao, David Enke, Henry Wiebe

Expert Syst. Appl., 2004

2000

Large machine-part family formation utilizing a parallel ART1 neural network.

David Enke, Kanchitpol Ratanapan, Cihan H. Dagli

J. Intell. Manuf., 2000

1997

Modeling the lateral cortical connections and Area V1 to LGN feedback for producing segment completion, noise reduction, and attentional effects.

David Enke, Cihan H. Dagli

Proceedings of the Human Vision and Electronic Imaging II, 1997