Runtime integration of machine learning and simulation for business processes: Time and decision mining predictions

This publication has 13 references indexed in Scilit:

• Stochastic process mining: Earth movers’ stochastic conformance
  Information Systems, 2021
• Discovering business process simulation models in the presence of multitasking and availability constraints
  Data & Knowledge Engineering, 2021
• Automated discovery of business process simulation models from event logs
  Decision Support Systems, 2020
• From knowledge-driven to data-driven inter-case feature encoding in predictive process monitoring
  Information Systems, 2019
• Forecasting at Scale
  The American Statistician, 2018
• Predicting process behaviour using deep learning
  Decision Support Systems, 2017
• The Use of Process Mining in Business Process Simulation Model Construction
  Business & Information Systems Engineering, 2015
• On the use of artificial neural networks in simulation-based manufacturing control
  Journal of Simulation, 2014
• Discovering simulation models
  Information Systems, 2009
• The Hungarian method for the assignment problem
  Naval Research Logistics Quarterly, 1955