4 papers
An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction
Henryk Mustroph, Michel Kunkler, Stefanie Rinderle-Ma
Suffix prediction of business processes forecasts the remaining sequence of events until process completion. Current approaches focus on predicting the most likely suffix, represen…
A Systematic Review of Business Process Improvement: Achievements and Potentials in Combining Concepts from Operations Research and Business Process Management
Michel Kunkler, Felix Schumann, Stefanie Rinderle-Ma
Business Process Management and Operations Research are two research fields that both aim to enhance value creation in organizations. While Business Process Management has historic…
Recent Advances in Data-Driven Business Process Management
Lars Ackermann, Martin Käppel, Laura Marcus +21
The rapid development of cutting-edge technologies, the increasing volume of data and also the availability and processability of new types of data sources has led to a paradigm sh…
Bridging MDE and AI: A Systematic Review of Domain-Specific Languages and Model-Driven Practices in AI Software Systems Engineering
Simon Raedler, Luca Berardinelli, Karolin Winter +2
Background:Technical systems are growing in complexity with more components and functions across various disciplines. Model-Driven Engineering (MDE) helps manage this complexity by…