A Systematic Review to Identify Patterns Types and Analysis Objectives for the Discovery of Business Rules from Event Logs Using Machine Learning

Menna Wael, Gamal Kassem

2024

Abstract

Business processes are structured and executed based on business rules. Information systems executing the business processes store the execution data in event logs. The event logs can be analyzed using machine learning algorithms to discover business rules in the business process execution. In which various algorithms can be applied to event log data to discover rules/patterns related to the business process. The application of machine learning on event log data to discover the business rules needs extensive process mining expertise and knowledge from the process analyst; therefore, there is a need to facilitate the application of machine learning on event log data to reach different analysis objectives. This can be done through identifying the pattern types related to performing different machine learning tasks on event log data, and the different analysis objectives for the discovery of business rules from event logs. However, it was found that no systematic review was previously conducted to collect this information; therefore, the focus of this paper is to conduct a systematic review to collect from research the different pattern/rule types within the event log data that can be discovered and the different analysis objectives for the discovery of business rules from event logs.

Paper Citation

in Harvard Style

Wael M. and Kassem G. (2024). A Systematic Review to Identify Patterns Types and Analysis Objectives for the Discovery of Business Rules from Event Logs Using Machine Learning. In Proceedings of the 21st International Conference on Smart Business Technologies - Volume 1: ICSBT; ISBN 978-989-758-710-8, SciTePress, pages 131-138. DOI: 10.5220/0012857700003764

in Bibtex Style

@conference{icsbt24,
author={Menna Wael and Gamal Kassem},
title={A Systematic Review to Identify Patterns Types and Analysis Objectives for the Discovery of Business Rules from Event Logs Using Machine Learning},
booktitle={Proceedings of the 21st International Conference on Smart Business Technologies - Volume 1: ICSBT},
year={2024},
pages={131-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012857700003764},
isbn={978-989-758-710-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Smart Business Technologies - Volume 1: ICSBT
TI - A Systematic Review to Identify Patterns Types and Analysis Objectives for the Discovery of Business Rules from Event Logs Using Machine Learning
SN - 978-989-758-710-8
AU - Wael M.
AU - Kassem G.
PY - 2024
SP - 131
EP - 138
DO - 10.5220/0012857700003764
PB - SciTePress