Program for stream Analytics, Data Science, and Forecasting

WB-06: Predictive Analytics: Forecast Combination & Hyperparameter Optimization
Stream: Analytics, Data Science, and Forecasting
Room: H9
Chair(s): Sven F. Crone

• Shifting Forecast Combination Weights Estimated on Subsamples towards Full Sample Weight Determination
  Veronika Wachslander
• Generating Artificial Training Errors for Forecast Combination Based on Shrunk Sample Covariance Matrices
  André Konersmann, Thomas Setzer
• Utility-Driven Hyperparameter Optimization for Tabular Data GANs via Ranking-and-Selection
  Mick Molitor

WC-06: Predictive Analytics: Forecasting I
Stream: Analytics, Data Science, and Forecasting
Room: H9
Chair(s): Thomas Setzer

• Machine Learning for Lead-Time Demand Estimation: Addressing Data Sparsity in Spare Parts Inventory Control
  Florian E. Sachs, Robin Reiners, Ulrich Thonemann
• Intermittent demand forecasting with count panel data models
  Katja Nieberle
• Conditional volatility modeling and financial risk measurement via recurrent neual networks
  Theo Berger

WE-06: Predictive Analytics: Forecasting II
Stream: Analytics, Data Science, and Forecasting
Room: H9
Chair(s): Sven F. Crone, Ralph Grothmann

• Feature selection for Neural Network Forecasting - an empirical evaluation of partial dependence, pertubation and gradient techniques for railway revenue forecasting
  Sven F. Crone
• Model Building and Forecasting with Recurrent Neural Networks
  Hans Georg Zimmermann, Nico Beck, Julian Stengl

TA-06: Prescriptive Analytics: Sales, Logistics and Industrial Analytics
Stream: Analytics, Data Science, and Forecasting
Room: H9
Chair(s): Ralph Grothmann, Thomas Setzer

• Machine predictive maintenance to prevent defects using Decision tree and Random forest
  Pavee Siriruk
• Discounted Sales of Expiring Groceries: The Challenge of Forecasting Demand
  David Winkelmann
• Uncovering Factors Affecting Manufacturing Quality: Causal Discovery from Embedded Features in Manufacturing Data
  Won Sang Lee