Event Log Extraction for Process Mining Using Large Language Models

Vinicius Stein Dani; Marcus Dees; Henrik Leopold; Kiran Busch; Iris Beerepoot; Jan Martijn E. M. van der Werf; Hajo A. Reijers

doi:10.1007/978-3-031-81375-7_4

BOOK-CHAPTER

Event Log Extraction for Process Mining Using Large Language Models

Vinicius Stein Dani Marcus Dees Henrik Leopold Kiran Busch Iris Beerepoot Jan Martijn E. M. van der Werf Hajo A. Reijers

Year: 2025 Lecture notes in computer science Pages: 56-72 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-81375-7_4

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Event (particle physics) Extraction (chemistry) Process (computing) Process mining Information extraction Natural language processing Artificial intelligence Data mining Work in process Programming language Business process modeling Business process

Metrics

Cited By

10.44

FWCI (Field Weighted Citation Impact)

Refs

0.91

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Business Process Modeling and Analysis

Social Sciences → Business, Management and Accounting → Management Information Systems

Semantic Web and Ontologies

Physical Sciences → Computer Science → Artificial Intelligence

Service-Oriented Architecture and Web Services

Physical Sciences → Computer Science → Information Systems

Event Log Extraction for Process Mining Using Large Language Models

Metrics

Citation History

Topics

Related Documents

Multi-Document Event Extraction Using Large and Small Language Models

Epidemic Information Extraction for Event-Based Surveillance Using Large Language Models

Physics event classification using Large Language Models

Corporate Event Predictions Using Large Language Models

Event Extraction and Semantic Representation from Spanish Workers’ Statute Using Large Language Models