Computational Methods in Process Mining and Optimization

Dear Colleagues,

This Special Issue focuses on recent advances in computational methods that support process mining and optimization in complex organizational and industrial environments. It aims to bring together innovative research on data-driven techniques, algorithms, and intelligent systems for discovering, analyzing, predicting, and improving processes. Topics of interest include, but are not limited to, the following: process discovery, conformance checking, predictive process monitoring, optimization algorithms, simulation, decision support, and applications of machine learning and artificial intelligence in process analysis and improvement. This Special Issue welcomes both theoretical contributions and practical case studies that demonstrate how computational approaches can enhance operational efficiency, process transparency, and decision-making across diverse domains.

Prof. Dr. Cong Liu
Guest Editor

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