@inproceedings{c1edd4f3ed7c46398ce4ef37778135ed,
title = "Miner{\'i}a de Procesos y Descubrimiento Autom{\'a}tico de Procesos",
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.",
keywords = "algorithms, discovery, event log, process mining, process model, techniques",
author = "Pe{\~n}a, {Marcos Rivas} and Sussy Bayona-Or{\'e}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; null ; Conference date: 17-10-2018 Through 19-10-2018",
year = "2019",
month = jan,
day = "24",
doi = "10.1109/CIMPS.2018.8625621",
language = "Espa{\~n}ol",
series = "Applications in Software Engineering - Proceedings of the 7th International Conference on Software Process Improvement, CIMPS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "41--46",
editor = "Perez-Negron, {Adriana Pena} and {Munoz Mata}, {Mirna A.} and Miranda, {Jezreel Mejia} and Giner Alor-Hernandez and Carrillo, {Alma Yadira Quinonez}",
booktitle = "Applications in Software Engineering - Proceedings of the 7th International Conference on Software Process Improvement, CIMPS 2018",
address = "Estados Unidos",
}