TY - JOUR
T1 - A combination of the evolutionary tree miner and simulated annealing
AU - Nurlaili, Afina Lina
AU - Sarno, Riyanarto
N1 - Publisher Copyright:
© 2018, Institute of Advanced Engineering and Science. All rights reserved.
PY - 2017/9
Y1 - 2017/9
N2 - 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.
AB - 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.
KW - Event logs
KW - Process discovery
KW - Process tree
KW - Simulated Annealing (SA)
KW - The Evolutionary Tree Miner (ETM)
UR - http://www.scopus.com/inward/record.url?scp=85044855146&partnerID=8YFLogxK
U2 - 10.11591/eecsi.4.980
DO - 10.11591/eecsi.4.980
M3 - Article
AN - SCOPUS:85044855146
SN - 2407-439X
VL - 4
SP - 336
EP - 340
JO - International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
JF - International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
ER -