Abstract
Business Processes Modeling is essential for the management and execution of processes. However, when the execution of the processes differs from the pre-established models is necessary to review the traces and records of events to know these differences. One goal of process mining is to discover the real processes through the extraction of knowledge from the records of events available in the information systems. This paper describes a systematic literature review to identify the algorithms developed for automatic discovery of business processes. 20 articles that included algorithm proposals were identified and the results show that the algorithms provide similar models to the records of events when these events are clean without noise. In addition, it is observed that the most used technique to model the flows is Petri net.
Translated title of the contribution | Process Mining and Automatic Process Discovery |
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Original language | Spanish |
Title of host publication | Applications in Software Engineering - Proceedings of the 7th International Conference on Software Process Improvement, CIMPS 2018 |
Editors | Adriana Pena Perez-Negron, Mirna A. Munoz Mata, Jezreel Mejia Miranda, Giner Alor-Hernandez, Alma Yadira Quinonez Carrillo |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 41-46 |
Number of pages | 6 |
ISBN (Electronic) | 9781728101583 |
DOIs | |
State | Published - 24 Jan 2019 |
Externally published | Yes |
Event | Applications in Software Engineering - 7th International Conference on Software Process Improvement, CIMPS 2018 - Guadalajara, Jalisco, Mexico Duration: 17 Oct 2018 → 19 Oct 2018 |
Publication series
Name | Applications in Software Engineering - Proceedings of the 7th International Conference on Software Process Improvement, CIMPS 2018 |
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Conference
Conference | Applications in Software Engineering - 7th International Conference on Software Process Improvement, CIMPS 2018 |
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Country/Territory | Mexico |
City | Guadalajara, Jalisco |
Period | 17/10/18 → 19/10/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.