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Bringing Light Into the Darkness - A Systematic Literature Review on Explainable Predictive Business Process Monitoring Techniques.

, , , , , and . ECIS, (2021)

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Closing the Gap between Smart Manufacturing Applications and Data Management., , , and . Wirtschaftsinformatik (Community Tracks), page 120-136. GITO Verlag, (2020)Conformance checking: A state-of-the-art literature review., , , and . CoRR, (2020)Cause vs. effect in context-sensitive prediction of business process instances., , , , , and . Inf. Syst., (2021)Seven Paradoxes of Business Process Management in a Hyper-Connected World., , , , , , , , , and 14 other author(s). Bus. Inf. Syst. Eng., 63 (2): 145-156 (2021)Explainable predictive business process monitoring using gated graph neural networks., , , and . J. Decis. Syst., 29 (Supplement): 312-327 (2020)From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events., , , , and . Wirtschaftsinformatik (Zentrale Tracks), page 364-368. GITO Verlag, (2020)A Framework to Evaluate the Viability of Robotic Process Automation for Business Process Activities., , , and . BPM (Blockchain and RPA Forum), volume 393 of Lecture Notes in Business Information Processing, page 200-214. Springer, (2020)Robotic Process Automation: Hype or Hope?, , and . Wirtschaftsinformatik (Zentrale Tracks), page 1750-1762. GITO Verlag, (2020)A Technique for Determining Relevance Scores of Process Activities using Graph-based Neural Networks., , , and . CoRR, (2020)A technique for determining relevance scores of process activities using graph-based neural networks., , , and . Decis. Support Syst., (2021)