Dennis Eilers

• Big Data Analytics and Visualization
• Machine Learning
• Decision Support Systems and Forecasting

• WS 2016/2017 Business Intelligence and Big Data Analytics
• WS 2016/2017 Exercise Computational Finance (Programming with R)
• WS 2016/2017 Seminar Quantitative Methods
• WS 2016/2017 Seminar Operations Management and Research
• SS 2016 Research Project
• WS 2015/2016 Exercise Computational Finance (Programming with R)
• WS 2015/2016 Business Intelligence and Big Data Analytics
• WS 2015/2016 Seminar Quantitative Methods
• WS 2015/2016 Seminar Operations Management and Research

• Supervisor for Bachelor and Master theses
• Webinar Information Management

Eilers, D., Köpp, C., Gleue, C., and Breitner, M. H. (forthcoming). “It’s Not a Bug, It’s a Feature: How Visual Model Evaluation Can Help to Incorporate Human Domain Knowledge in Data Science” ICIS 2017 Proceedings. 

Gleue, C., Eilers, D., Mettenheim, H.-J. von, and Breitner, M. H. (forthcoming). “Decision Support for the Automotive Industry: Forecasting Residual Values Using Artificial Neural Networks” Business & Information Systems Engineering. (Extended Conference Paper)

Wiegard, R., Eilers, D., and Gercke, D. 2017. “What Does YouTube Say about Your Product? An Aspect Based Approach” European Conference on Information Systems 2017. 

Eilers, D., and Breitner, M. H. 2017. “A Picture Is Worth a Thousand Words: Visual Model Evaluation in Data Science Applications” Wirtschaftsinformatik 2017 Proceedings. (Best Student Paper Award)

Gleue, C., Eilers, D., Mettenheim, H.-J. von, and Breitner, M. H. 2017. “Decision Support for the Automotive Industry: Forecasting Residual Values Using Artificial Neural Networks” Wirtschaftsinformatik 2017 Proceedings. 

Eilers, D., Dunis, C. L., von Mettenheim, H.-J., and Breitner, M. H. 2014. “Intelligent Trading of Seasonal Effects: A Decision Support Algorithm Based on Reinforcement Learning” Decision Support Systems (64), pp. 100–108.