6 papers
Advancing Object-Centric Process Mining with Multi-Dimensional Data Operations
Shahrzad Khayatbashi, Najmeh Miri, Amin Jalali
Analyzing process data at varying levels of granularity is important to derive actionable insights and support informed decision-making. Object-Centric Event Data (OCED) enhances p…
DMN-Guided Prompting: A Framework for Controlling LLM Behavior
Shaghayegh Abedi, Amin Jalali
Large Language Models (LLMs) have shown considerable potential in automating decision logic within knowledge-intensive processes. However, their effectiveness largely depends on th…
Enriching Object-Centric Event Data with Process Scopes: A Framework for Aggregation and Analysis
Shahrzad Khayatbashi, Majid Rafiei, Jiayuan Chen +3
Object-Centric Process Mining enables the analysis of complex operational behavior by capturing interactions among multiple business objects (e.g., orders, items, deliveries). Thes…
AI-Enhanced Business Process Automation: A Case Study in the Insurance Domain Using Object-Centric Process Mining
Shahrzad Khayatbashi, Viktor Sjölind, Anders Granåker +1
Recent advancements in Artificial Intelligence (AI), particularly Large Language Models (LLMs), have enhanced organizations' ability to reengineer business processes by automating…
OCPM: Extending the Process Mining Methodology for Object-Centric Event Data Extraction
Najmeh Miri, Shahrzad Khayatbashi, Jelena Zdravkovic +1
Object-Centric Process Mining (OCPM) enables business process analysis from multiple perspectives. For example, an educational path can be examined from the viewpoints of students,…
Transforming Object-Centric Event Logs to Temporal Event Knowledge Graphs (Extended Version)
Shahrzad Khayatbashi, Olaf Hartig, Amin Jalali
Event logs play a fundamental role in enabling data-driven business process analysis. Traditionally, these logs track events related to a single object, known as the case, limiting…