Utilization of LLM for Process Mining Analysis of Event Log of Travel Expenses at the Operational Level

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F25%3AA0000540" target="_blank" >RIV/47813059:19520/25:A0000540 - isvavai.cz</a>

Result on the web

<a href="https://www.taylorfrancis.com/chapters/edit/10.4324/9781003507840-4/utilization-llm-process-mining-analysis-event-log-travel-expenses-operational-level-michal-hala%C5%A1ka-roman-%C5%A1perka" target="_blank" >https://www.taylorfrancis.com/chapters/edit/10.4324/9781003507840-4/utilization-llm-process-mining-analysis-event-log-travel-expenses-operational-level-michal-hala%C5%A1ka-roman-%C5%A1perka</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4324/9781003507840" target="_blank" >10.4324/9781003507840</a>

Result language

angličtina

Original language name

Utilization of LLM for Process Mining Analysis of Event Log of Travel Expenses at the Operational Level

Original language description

This chapter explores the application of large language models (LLMs) in process mining, mainly focusing on their ability to manage complex queries and interpret processes effectively. It aims to identify which business process management (BPM) tasks LLMs can support and the potential transformative impact on BPM workflows. The study uses ChatGPT, a state-of-the-art LLM, to analyze an event log of travel expenses at a university. A series of prompts are designed to evaluate the model’s performance in extracting process descriptions, identifying anomalies, and generating process insights. The findings demonstrate ChatGPT’s proficiency in transforming complex process mining data into intuitive formats, significantly improving the efficiency and precision of process analysis. The model successfully identified process variants, anomalies, and bottlenecks and provided detailed descriptions of process activities. Integrating conversational AI like ChatGPT into process mining can make these tools more accessible and effective, reducing the need for specialized expertise. This integration has the potential to improve traditional process mining techniques, leading to more insightful and actionable results in BPM. This chapter provides a preliminary exploration of the applicability in process mining, offering valuable information on their potential to transform BPM practices. It highlights the innovative use of conversational AI to complement and enhance existing process mining methodologies. The study underscores the need for further research to validate these findings and explore advanced AI technologies for process optimization.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name

Utilization of LLM for Process Mining Analysis of Event Log of Travel Expenses at the Operational Level

ISBN

9781032831107

Number of pages of the result

23

Pages from-to

57-79

Number of pages of the book

380

Publisher name

Routledge

Place of publication

London

UT code for WoS chapter

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