Authors:
Eren Esgin
1
and
Pinar Karagoz
2
Affiliations:
1
MBIS R&D Center, AI Research, Istanbul, Turkey, Middle East Technical University, Informatics Institute, Ankara and Turkey
;
2
Middle East Technical University, Computer Engineering Department, Ankara and Turkey
Keyword(s):
Case Identifier, Process Mining, Process Profile, Synthetic Log Generator (SynLogGen), Unlabeled Event Log.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Intelligence Applications
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Process Mining
;
Symbolic Systems
Abstract:
The goal of process mining is to discover the process behavior from the runtime information of process executions. Having labeled process logs is crucial for process mining research. However, real life event logs at process-aware information systems are mostly partially assigned to case identifiers, known as unlabeled event log problem. As a remedy to labeled data need in process mining research, we propose an approach to generate synthetic event logs according to the provided process profile, which outlines the activity vocabulary and structure of the corresponding business process. We evaluate the performance of our prototypical implementation in term of compatible log generation under varying parameter setting complexities.