A Heuristic Genetic Process Mining Algorithm

Author(s):  
Jiafei Li ◽  
Jihong OuYang ◽  
Mingyong Feng
Author(s):  
A. K. Alves de Medeiros ◽  
A. J. M. M. Weijters ◽  
W. M. P. van der Aalst

2014 ◽  
Vol 989-994 ◽  
pp. 1918-1923
Author(s):  
Hong Li ◽  
Yu Wei ◽  
Xiao Hu Ye ◽  
Shao Wen Yao ◽  
Jun Yang

Process mining is helpful for deploying new business processes as well as auditing, analyzing and improving the already enacted ones. The business process system log often has a large number of the namesake task and repetitive task. The existing alpha algorithm of the mining algorithm cannot distinguish them very well. It leads to the results that the process mining often produce inaccurate flow model. In order to improve the accuracy of the process mining, the paper puts forward an improved method. The new method not only can dig the complex structure, such as circulation structure, free choice structure and so on, it still can dig the eponymous task and repeat task in the log.


Author(s):  
Carmen Bratosin ◽  
Natalia Sidorova ◽  
Wil van der Aalst

Author(s):  
W. M. P. van der Aalst ◽  
A. K. Alves de Medeiros ◽  
A. J. M. M. Weijters

Author(s):  
Carmen Bratosin ◽  
Natalia Sidorova ◽  
Wil van der Aalst

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