scholarly journals Context Aware Process Mining in Logistics

Procedia CIRP ◽  
2017 ◽  
Vol 63 ◽  
pp. 557-562 ◽  
Author(s):  
Till Becker ◽  
Wacharawan Intoyoad
Keyword(s):  
Process Mining ◽  
Context Aware

Context aware Hidden Markov Model for Intention process mining

2021 ◽  
Author(s):  
Imane Choukri ◽  
Hatim Guermah ◽  
Abdelmajid Daosabah ◽  
Mahmoud Nassar
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Process Mining ◽  
Hidden Markov ◽  
Context Aware

scholarly journals Quality-Aware Resource Model Discovery

2021 ◽  
Vol 11 (12) ◽  
pp. 5730
Author(s):  
Minsu Cho ◽  
Gyunam Park ◽  
Minseok Song ◽  
Jinyoun Lee ◽  
Euiseok Kum
Keyword(s):  
Process Modeling ◽  
Semiconductor Manufacturing ◽  
Process Mining ◽  
Healthcare Systems ◽  
Transition System ◽  
Context Aware ◽  
Model Simplification ◽  
Resource Model ◽  
Combine Process ◽  
Model Visualization

Context-aware process mining aims at extending a contemporary approach with process contexts for realistic process modeling. Regarding this discipline, there have been several attempts to combine process discovery and predictive process modeling and context information, e.g., time and cost. The focus of this paper is to develop a new method for deriving a quality-aware resource model. It first generates a resource-oriented transition system and identifies the quality-based superior and inferior cases. The quality-aware resource model is constructed by integrating these two results, and we also propose a model simplification method based on statistical analyses for better resource model visualization. This paper includes tooling support for our method, and one of the case studies on a semiconductor manufacturing process is presented to validate the usefulness of the proposed approach. We expect our work is practically applicable to a range of fields, including manufacturing and healthcare systems.

Process Mining - A Comprehensive Review

2018 ◽  
Vol 6 (7) ◽  
pp. 1108-1113
Author(s):  
S. Vijayarani ◽  
A. Sakila ◽  
R. Ramya
Keyword(s):  
Process Mining ◽  
Comprehensive Review
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