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The equivalency between logic Petri workflow nets and workflow nets
Thescientificworldjournal
|March 31, 2015
Summary
Logic Petri workflow nets (LPWNs) enhance process mining by addressing log issues. This study proves LPWNs are equivalent to workflow nets (WF-nets), showcasing LPWN advantages for cooperative systems.
Area of Science:
- Computer Science
- Artificial Intelligence
- Business Process Management
Background:
- Logic Petri nets (LPNs) model cooperative systems with value indeterminacy.
- Process mining analyzes business processes using event logs.
- Workflow nets (WF-nets) are extensions of Petri nets used in process mining.
Purpose of the Study:
- To propose Logic Petri workflow nets (LPWNs) as an advancement over LPNs.
- To demonstrate the equivalence between LPWNs and WF-nets.
- To highlight the advantages of LPWNs in addressing process mining challenges.
Main Methods:
- Modeling an online shop in electronic commerce using LPWNs.
- Comparing LPWNs with traditional WF-nets.
- Analyzing the effectiveness of LPWNs in handling process mining shortcomings.
Main Results:
- Equivalence between LPWNs and WF-nets is proven.
- LPWNs demonstrate advantages in addressing issues like duplicate tasks, invisible tasks, and log noise.
- The proposed LPWNs offer a robust framework for process mining.
Conclusions:
- LPWNs provide a powerful extension to Petri nets for process mining.
- LPWNs effectively handle complexities in cooperative systems and event log data.
- The developed model offers practical benefits for e-commerce and business process analysis.
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