David Enke

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 9

Top Topics

Complex Event Processing

Trading Systems

Top Venues

Complex Adaptive Systems

Expert Syst. Appl.

Eng. Appl. Artif. Intell.

Int. J. Gen. Syst.

Publications

Yechan Han, Jaeyun Kim, David Enke
Selective genetic algorithm labeling: A new data labeling method for machine learning stock market trading systems. Eng. Appl. Artif. Intell. 135 (2024)
Myeongseok Park, Jaeyun Kim, David Enke
A novel trading system for the stock market using Deep Q-Network action and instance selection. Expert Syst. Appl. 257 (2024)
Yechan Han, Jaeyun Kim, David Enke
A machine learning trading system for the stock market based on N-period Min-Max labeling using XGBoost. Expert Syst. Appl. 211 (2023)
Xiao Zhong, David Enke
Forecasting daily stock market return using dimensionality reduction. Expert Syst. Appl. 67 (2017)
Youngmin Kim, Wonbin Ahn, Kyong Joo Oh, David Enke
An intelligent hybrid trading system for discovering trading rules for the futures market using rough sets and genetic algorithms. Appl. Soft Comput. 55 (2017)
Sukjun Lee, David Enke, Youngmin Kim
A relative value trading system based on a correlation and rough set analysis for the foreign exchange futures market. Eng. Appl. Artif. Intell. 61 (2017)
Xiao Zhong, David Enke
A comprehensive cluster and classification mining procedure for daily stock market return forecasting. Neurocomputing 267 (2017)
Youngmin Kim, David Enke
Developing a rule change trading system for the futures market using rough set analysis. Expert Syst. Appl. 59 (2016)
Wen-Chyuan Chiang, David Enke, Tong Wu, Renzhong Wang
An adaptive stock index trading decision support system. Expert Syst. Appl. 59 (2016)
Nijat Mehdiyev, Julian Krumeich, David Enke, Dirk Werth, Peter Loos
Determination of Rule Patterns in Complex Event Processing Using Machine Learning Techniques. Complex Adaptive Systems (2015)
Phoebe S. Wiles, David Enke
Optimizing MACD Parameters via Genetic Algorithms for Soybean Futures. Complex Adaptive Systems (2015)
Soheil Almasi Monfared, David Enke
Noise Canceling in Volatility Forecasting Using an Adaptive Neural Network Filter. Complex Adaptive Systems (2015)
Soheil Almasi Monfared, David Enke
Volatility Forecasting Using a Hybrid GJR-GARCH Neural Network Model. Complex Adaptive Systems (2014)
David Enke, Nijat Mehdiyev
A Hybrid Neuro-fuzzy Model to Forecast Inflation. Complex Adaptive Systems (2014)
David Enke
Part IV: Business and Financial Analytics Preface. Complex Adaptive Systems (2014)
Nijat Mehdiyev, David Enke
Interest rate prediction: a neuro-hybrid approach with data preprocessing. Int. J. Gen. Syst. 43 (5) (2014)
Phoebe S. Wiles, David Enke
Nonlinear Modeling Using Neural Networks for Trading the Soybean Complex. Complex Adaptive Systems (2014)
David Enke
Part I: Adaptive Systems. Complex Adaptive Systems (2013)
David Enke, Nijat Mehdiyev
Stock Market Prediction Using a Combination of Stepwise Regression Analysis, Differential Evolution-based Fuzzy Clustering, and a Fuzzy Inference Neural Network. Intell. Autom. Soft Comput. 19 (4) (2013)
David Enke, Nijat Mehdiyev
Type-2 Fuzzy Clustering and a Type-2 Fuzzy Inference Neural Network for the Prediction of Short-term Interest Rates. Complex Adaptive Systems (2013)
Nil H. Kilicay-Ergin, David Enke, Cihan H. Dagli
Biased trader model and analysis of financial market dynamics. Int. J. Knowl. Based Intell. Eng. Syst. 16 (2) (2012)
David Enke, Nijat Mehdiyev
A New Hybrid Approach For Forecasting Interest Rates. Complex Adaptive Systems (2012)
Rosemary D. Paradis, David Enke
Preface to Part II Computational Intelligence and Machine Learning. Complex Adaptive Systems (2012)
David Enke, Manfred Grauer, Nijat Mehdiyev
Stock Market Prediction with Multiple Regression, Fuzzy Type-2 Clustering and Neural Networks. Complex Adaptive Systems (2011)
Thira Chavarnakul, David Enke
A hybrid stock trading system for intelligent technical analysis-based equivolume charting. Neurocomputing 72 (16-18) (2009)
Thira Chavarnakul, David Enke
Intelligent technical analysis based equivolume charting for stock trading using neural networks. Expert Syst. Appl. 34 (2) (2008)
Sunisa Amornwattana, David Enke, Cihan H. Dagli
A hybrid option pricing model using a neural network for estimating volatility. Int. J. Gen. Syst. 36 (5) (2007)
Nil H. Kilicay-Ergin, David Enke, Cihan H. Dagli
Analysis of System Behavior Through Cognitive Architectures. IC-AI (2007)
David Enke, Suraphan Thawornwong
The use of data mining and neural networks for forecasting stock market returns. Expert Syst. Appl. 29 (4) (2005)
Hsien-Tsung Liao, David Enke, Henry Wiebe
An expert advisory system for the ISO 9001 quality system. Expert Syst. Appl. 27 (2) (2004)
Suraphan Thawornwong, David Enke
The adaptive selection of financial and economic variables for use with artificial neural networks. Neurocomputing 56 (2004)
David Enke, Kanchitpol Ratanapan, Cihan H. Dagli
Large machine-part family formation utilizing a parallel ART1 neural network. J. Intell. Manuf. 11 (6) (2000)
David Enke, Cihan H. Dagli
Modeling the lateral cortical connections and Area V1 to LGN feedback for producing segment completion, noise reduction, and attentional effects. Human Vision and Electronic Imaging (1997)