Search Results - subject:"Predictive Process Monitoring"

Explaining transformer-based next activity prediction by using attention scores

Käppel, Martin; Ackermann, Lars; Jablonski, Stefan; … - In: Process Science 2 (2025) 1

Predictive business process monitoring aims to enhance process execution by providing real-time predictions about the future evolution of a process instance. In recent years, several deep learning approaches have been established as state of the art for various predictive tasks, including those...

Persistent link: https://www.econbiz.de/10015439272

Learning from the Data to Predict the Process

Pfeiffer, Peter; Abb, Luka; Fettke, Peter; Rehse, … - In: Business & Information Systems Engineering 67 (2025) 3, pp. 357-383

Predictive process monitoring (PPM) aims to forecast how a running process instance will unfold in the future, e …

Persistent link: https://www.econbiz.de/10015506605

Learning from the data to predict the process : generalization capabilities of next activity prediction algorithms

Pfeiffer, Peter; Abb, Luka; Fettke, Peter; Rehse, … - In: Business & information systems engineering 67 (2025) 3, pp. 357-383

Persistent link: https://www.econbiz.de/10015470801

Robust solutions via optimisation and predictive process monitoring for the scheduling of the interventional radiology procedures

Di Cunzolo, Matteo; Ronzani, Massimiliano; Aringhieri, … - In: International transactions in operational research : a … 32 (2025) 4, pp. 2189-2214

Persistent link: https://www.econbiz.de/10015338346

Quantifying and explaining machine learning uncertainty in predictive process monitoring: an operations research perspective

Mehdiyev, Nijat; Majlatow, Maxim; Fettke, Peter - In: Annals of Operations Research 347 (2024) 2, pp. 991-1030

decision-making in complex systems. The approach leverages Quantile Regression Forests for reliable predictive process … monitoring and incorporates Shapley Additive Explanations (SHAP) to identify the drivers of predictive uncertainty. This dual …

Persistent link: https://www.econbiz.de/10015436481

Evaluating early predictive performance of machine learning approaches for engineering change schedule : a case study using predictive process monitoring techniques

Radišić-Aberger, Ognjen; Burggräf, Peter; Steinberg, … - In: Supply chain analytics 8 (2024), pp. 1-35

By applying machine learning algorithms, predictive business process monitoring (PBPM) techniques provide an opportunity to counteract undesired outcomes of processes. An especially complex variation of business processes is the engineering change (EC) process. Here, failing to adhere to planned...

Persistent link: https://www.econbiz.de/10015325099

Predictive end-to-end enterprise process network monitoring

Oberdorf, Felix; Schaschek, Myriam; Weinzierl, Sven; … - In: Business & information systems engineering 65 (2023) 1, pp. 49-64

Persistent link: https://www.econbiz.de/10014228189

Predictive End-to-End Enterprise Process Network Monitoring

Oberdorf, Felix; Schaschek, Myriam; Weinzierl, Sven; … - In: Business & Information Systems Engineering 65 (2022) 1, pp. 49-64

Ever-growing data availability combined with rapid progress in analytics has laid the foundation for the emergence of business process analytics. Organizations strive to leverage predictive process analytics to obtain insights. However, current implementations are designed to deal with...

Persistent link: https://www.econbiz.de/10015209958

Machine learning in business process monitoring : a comparison of deep learning and classical approaches used for outcome prediction

Kratsch, Wolfgang; Manderscheid, Jonas Hans; … - In: Business & information systems engineering 63 (2021) 3, pp. 261-276

Persistent link: https://www.econbiz.de/10012542845

Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction

Kratsch, Wolfgang; Manderscheid, Jonas; Röglinger, … - In: Business & Information Systems Engineering 63 (2020) 3, pp. 261-276

Predictive process monitoring aims at forecasting the behavior, performance, and outcomes of business processes at … when it comes to outcome-oriented predictive process monitoring. This circumstance reflects a lack of understanding about …

Persistent link: https://www.econbiz.de/10014503822