activity
20222024
most citedOCEL (Object-Centric Event Log) 2.0 Specification

13 citations · 40 across the 18 of their papers we have counts for

collaborators

18 papers

cs.DB20242 cited

Leveraging Large Language Models for Enhanced Process Model Comprehension

Humam Kourani, Alessandro Berti, Jasmin Hennrich +6

In Business Process Management (BPM), effectively comprehending process models is crucial yet poses significant challenges, particularly as organizations scale and processes become…

cs.FL2024

Imposing Rules in Process Discovery: an Inductive Mining Approach

Ali Norouzifar, Marcus Dees, Wil van der Aalst

Process discovery aims to discover descriptive process models from event logs. These discovered process models depict the actual execution of a process and serve as a foundational…

cs.AI2024

Bridging Domain Knowledge and Process Discovery Using Large Language Models

Ali Norouzifar, Humam Kourani, Marcus Dees +1

Discovering good process models is essential for different process analysis tasks such as conformance checking and process improvements. Automated process discovery methods often o…

stat.AP20243 cited

Process-Aware Analysis of Treatment Paths in Heart Failure Patients: A Case Study

Harry H. Beyel, Marlo Verket, Viki Peeva +5

Process mining in healthcare presents a range of challenges when working with different types of data within the healthcare domain. There is high diversity considering the variety…

cs.DB202413 cited

OCEL (Object-Centric Event Log) 2.0 Specification

Alessandro Berti, Istvan Koren, Jan Niklas Adams +10

Object-Centric Event Logs (OCELs) form the basis for Object-Centric Process Mining (OCPM). OCEL 1.0 was first released in 2020 and triggered the development of a range of OCPM tech…

cs.DB20236 cited

Advancements and Challenges in Object-Centric Process Mining: A Systematic Literature Review

Alessandro Berti, Marco Montali, Wil M. P. van der Aalst

Recent years have seen the emergence of object-centric process mining techniques. Born as a response to the limitations of traditional process mining in analyzing event data from p…