Results 11 to 20 of about 21,359,437 (311)
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
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
Group-Based Privacy Preservation Techniques for Process Mining [PDF]
Data & Knowledge Engineering, 2021 Process mining techniques help to improve processes using event data. Such data are widely available in information systems. However, they often contain highly sensitive information.
Majid Rafiei, Wil M.P. van der Aalst
semanticscholar +1 more source
Process mining for healthcare: Characteristics and challenges
Journal of Biomedical Informatics, 2022 Process mining techniques can be used to analyse business processes using the data logged during their execution. These techniques are leveraged in a wide range of domains, including healthcare, where it focuses mainly on the analysis of diagnostic ...
J. Munoz-Gama +54 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
Process mining in healthcare - An updated perspective on the state of the art
Journal of Biomedical Informatics, 2022 Process mining is the research domain focusing on the development of innovative methods to gather insights from event logs. It has been used for various use cases within the healthcare domain with the ambition to instigate evidence-based process ...
Emmelien De Roock, Niels Martin
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
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