DocumentCode :
1805873
Title :
Process mining based on improved hybrid genetic algorithm
Author :
Zhou Yixuan ; Ye Xiaohu ; Xue Gang
Author_Institution :
Laboratory of Network Intelligence Computing, School of Information, Yunnan University, Kunming, China
fYear :
2013
fDate :
1-8 Jan. 2013
Firstpage :
1
Lastpage :
4
Abstract :
Facing with the typical problems on the business process mining genetic algorithm, a process mining approach based on hybrid genetic algorithm is proposed. The causal matrix is brought as the internal representation of individuals of the improved algorithm, and the reasonable fitness functions is proposed. To verify the performance, experiments are conducted in the process mining framework. The result is expressed in terms of Petri net.
Keywords :
Annealing; Computers; Education; Causal matrix; Hybrid Genetic Algorithm; Petri nets; Process Mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Conference Anthology, IEEE
Conference_Location :
China
Type :
conf
DOI :
10.1109/ANTHOLOGY.2013.6784981
Filename :
6784981
Link To Document :
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