A New Process Mining Algorithm Based on Event Type

Author(s):  
Dongyi Wang ◽  
Jidong Ge ◽  
Hao Hu ◽  
Bin Luo
2005 ◽  
Vol 14 (03) ◽  
pp. 399-423 ◽  
Author(s):  
BINGRU YANG ◽  
JIANGTAO SHEN ◽  
WEI SONG

Knowledge Discovery in Knowledge Base (KDK) opens new horizons for research. KDK and KDD (Knowledge Discovery in Database) are the different cognitive field and discovery process. In most people's view, they are independent each other. In this paper we can summarize the following tasks: Firstly, we discussed that two kinds of the process model and mining algorithm of KDK based on facts and rules in knowledge base. Secondly, we proves that the inherent relation between KDD and KDK (i.e. double-basis fusion mechanism). Thirdly, we gained the new process model and implementation technology of KDK*. Finally, the imitation experimentation proved that the validity of above mechanism and process model.


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.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 48756-48764 ◽  
Author(s):  
Weimin Li ◽  
Heng Zhu ◽  
Wei Liu ◽  
Dehua Chen ◽  
Jiulei Jiang ◽  
...  

2009 ◽  
Vol 28 (12) ◽  
pp. 3235-3239 ◽  
Author(s):  
Hong-mei HUANG ◽  
Yun ZHANG

2021 ◽  
Vol 542 ◽  
pp. 453-475
Author(s):  
HongWei Sun ◽  
Wei Liu ◽  
Liang Qi ◽  
YuYue Du ◽  
Xiaojun Ren ◽  
...  

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