@inproceedings{8cb19b26a2134ad39e5f93d9b82c7a7e,
title = "A combination of the evolutionary tree miner and simulated annealing",
abstract = "In recent years, process mining is important to discover process model from event logs; however the existing methods have not achieved good in overall fitness. In this context, this paper proposes a combination of the Evolutionary Tree Miner (ETM) and Simulated Annealing (SA). The ETM aims to reduce randomness of population so that it can improved the quality of individuals. SA aims to increase overall fitness in the population. The results of the proposed method which was compared to other approaches show that the proposes method had better in overall fitness and better quality of individuals.",
keywords = "Event logs, Process discovery, Process tree, Simulated Annealing (SA), The Evolutionary Tree Miner (ETM)",
author = "Nurlaili, {Afina Lina} and Riyanarto Sarno",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017 ; Conference date: 19-09-2017 Through 21-09-2017",
year = "2017",
month = dec,
day = "22",
doi = "10.1109/EECSI.2017.8239134",
language = "English",
series = "International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)",
publisher = "Institute of Advanced Engineering and Science",
editor = "Hatib Rahmawan and Mochammad Facta and Riyadi, {Munawar A.} and Deris Stiawan",
booktitle = "Proceedings - 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2017",
}