Research Article
Prediction of Process Failure Approach Using Process Mining
@INPROCEEDINGS{10.1007/978-3-031-23116-2_6, author={Diahame Mamadou and Camara Mamadou Samba}, title={Prediction of Process Failure Approach Using Process Mining}, proceedings={Innovations and Interdisciplinary Solutions for Underserved Areas. 5th EAI International Conference, InterSol 2022, Abuja, Nigeria, March 23-24, 2022, Proceedings}, proceedings_a={INTERSOL}, year={2023}, month={2}, keywords={Process failure Process mining Event log Event loop Machine learning}, doi={10.1007/978-3-031-23116-2_6} }- Diahame Mamadou
Camara Mamadou Samba
Year: 2023
Prediction of Process Failure Approach Using Process Mining
INTERSOL
Springer
DOI: 10.1007/978-3-031-23116-2_6
Abstract
Events log are a collection of events that concern a business process. In them, we may find cases where its output is different from what expected. These differences are considered as failure and many publications usually propose prediction model to improve the business model. But existing approach of prediction rarely take into account the loops. The aim of this work is to propose a prediction of business process failure while considering loops as failure. So, in order to introduce the loop, we need first to determine how to implement the loop in existent event log. We propose some machine learning model in order to do the prediction. And then, compare the prediction model in order to get the best one. The prediction model is made by using the event log’s dataset of a loan application performed in a financial institution.
