About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Innovations and Interdisciplinary Solutions for Underserved Areas. 5th EAI International Conference, InterSol 2022, Abuja, Nigeria, March 23-24, 2022, Proceedings

Research Article

Prediction of Process Failure Approach Using Process Mining

Cite
BibTeX Plain Text
  • @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
Diahame Mamadou1,*, Camara Mamadou Samba1
  • 1: Ecole Supérieur Polytechnique
*Contact email: diahame.mamadou@esp.sn

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.

Keywords
Process failure Process mining Event log Event loop Machine learning
Published
2023-02-01
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-23116-2_6
Copyright © 2022–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL