Title :
A Heuristic Genetic Process Mining Algorithm
Author :
Jiafei Li ; JiHong Ouyang ; Mingyong Feng
Author_Institution :
Dept. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
Abstract :
The current GPM algorithm needs many iterations to get good process models with high fitness which makes the GPM algorithm usually time-consuming and sometimes the result can not be accepted. To mine higher quality model in shorter time, a heuristic solution by adding log-replay based crossover operator and direct/indirect dependency relation based mutation operator is put forward. Experiment results on 25 benchmark logs show encouraging results.
Keywords :
competitive intelligence; data mining; genetic algorithms; GPM algorithm; heuristic genetic process mining algorithm; indirect dependency relation based mutation operator; log-replay based crossover operator; Computational modeling; Data mining; Genetics; Heuristic algorithms; Industries; Measurement; Process control; Genetic Process Mining; crossover; heuristic; log replay; mutation;
Conference_Titel :
Computational Intelligence and Security (CIS), 2011 Seventh International Conference on
Conference_Location :
Hainan
Print_ISBN :
978-1-4577-2008-6
DOI :
10.1109/CIS.2011.12
