Results 11 to 20 of about 19,509,703 (356)
PM4Py: A process mining library for Python [PDF]
Softw. Impacts, 2023 Alessandro Berti +2 more
openalex +2 more sources
Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study [PDF]
Business Process Management Workshops, 2023 Large Language Models (LLMs) are capable of answering questions in natural language for various purposes. With recent advancements (such as GPT-4), LLMs perform at a level comparable to humans for many proficient tasks. The analysis of business processes
A. Berti +2 more
semanticscholar +1 more source
Trace Encoding in Process Mining: a survey and benchmarking [PDF]
Engineering applications of artificial intelligence, 2023 Encoding methods are employed across several process mining tasks, including predictive process monitoring, anomalous case detection, trace clustering, etc.
Sylvio Barbon Junior +3 more
semanticscholar +1 more source
A Survey on Concept Drift in Process Mining [PDF]
ACM Computing Surveys, 2021 Concept drift in process mining (PM) is a challenge as classical methods assume processes are in a steady-state, i.e., events share the same process version.
Denise Maria Vecino Sato +3 more
semanticscholar +1 more source
Privacy and Confidentiality in Process Mining: Threats and Research Challenges [PDF]
ACM Transactions on Management Information Systems, 2021 Privacy and confidentiality are very important prerequisites for applying process mining to comply with regulations and keep company secrets. This article provides a foundation for future research on privacy-preserving and confidential process mining ...
Gamal Elkoumy +7 more
semanticscholar +1 more source
Process Mining: A 360 Degree Overview
Process Mining Handbook, 2022 . Process mining enables organizations to uncover their actual processes, provide insights, diagnose problems, and automatically trigger corrective actions.
Wil M.P. van der Aalst
semanticscholar +1 more source
Precision and Fitness in Object-Centric Process Mining [PDF]
International Conference on Process Mining, 2021 Traditional process mining considers only one single case notion and discovers and analyzes models based on this. However, a single case notion is often not a realistic assumption in practice. Multiple case notions might interact and influence each other
Jan Niklas Adams, Wil M.P. van der Aalst
semanticscholar +1 more source
Event Log Preprocessing for Process Mining: A Review
Applied Sciences, 2021 Process Mining allows organizations to obtain actual business process models from event logs (discovery), to compare the event log or the resulting process model in the discovery task with the existing reference model of the same process (conformance ...
H. Marín-Castro, E. Tello-Leal
semanticscholar +1 more source
Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study
Business & Information Systems Engineering, 2021 Process mining is an active research domain and has been applied to understand and improve business processes. While significant research has been conducted on the development and improvement of algorithms, evidence on the application of process mining ...
Niels Martin +9 more
semanticscholar +1 more source
A Five-Level Framework for Research on Process Mining
Business & Information Systems Engineering, 2021 Process Mining is a novel technology that helps enterprises to better understand their business processes. Over the last 20 years, intensive research has been conducted into various process mining techniques.
J. Brocke +3 more
semanticscholar +1 more source