Mining the Model with the Hidden Transitions Based on Petri Net Probabilistic Behavioral Relations
Xiaoyue Wang, Xianwen Fang, Ruihao Cao
Available Online August 2015.
- https://doi.org/10.2991/ic3me-15.2015.162How to use a DOI?
- Process mining, Hidden transition, Process model, Probabilistic behavioral relations, Module
- In process mining, one of the major challenges is to find a process model in the best possible way through the describing observed behavior. The hidden transitions exist in the process models, but not found in the log sequence. This paper is based on the probabilistic behavioral relations from the incomplete log of the business process to mining the model with hidden transitions. First of all, according to the probabilistic behavioral relations obtained the relation of the modules, then calculate the probability of the sub module obtained the relation between the transitions, Based on this, constructing the process model with hidden transitions .Finally, analyzing the default transitions in the log sequence to determine the location of the hidden transitions, the method can effectively and quickly find the location of the hidden transitions.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xiaoyue Wang AU - Xianwen Fang AU - Ruihao Cao PY - 2015/08 DA - 2015/08 TI - Mining the Model with the Hidden Transitions Based on Petri Net Probabilistic Behavioral Relations BT - 3rd International Conference on Material, Mechanical and Manufacturing Engineering (IC3ME 2015) PB - Atlantis Press SN - 2352-5401 UR - https://doi.org/10.2991/ic3me-15.2015.162 DO - https://doi.org/10.2991/ic3me-15.2015.162 ID - Wang2015/08 ER -