105 citations · 1.4k across the 94 of their papers we have counts for
51 papers · 1 filter
Challenges of Anomaly Detection in the Object-Centric Setting: Dimensions and the Role of Domain Knowledge
Alessandro Berti, Urszula Jessen, Wil M. P. van der Aalst +1
Object-centric event logs, allowing events related to different objects of different object types, represent naturally the execution of business processes, such as ERP (O2C and P2P…
High-Level Event Mining: Overview and Future Work
Bianka Bakullari, Wil M. P. van der Aalst
Process mining traditionally relies on input consisting of low-level events that capture individual activities, such as filling out a form or processing a product. However, many of…
OCEL 2.0 Resources -- www.ocel-standard.org
Istvan Koren, Niklas Adams, Alessandro Berti
Process mining has become a cornerstone of process analysis and improvement over the last few years. With the widespread adoption of process mining tools and libraries, the limitat…
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…
The Interplay Between High-Level Problems and The Process Instances That Give Rise To Them
Bianka Bakullari, Jules van Thoor, Dirk Fahland +1
Business processes may face a variety of problems due to the number of tasks that need to be handled within short time periods, resources' workload and working patterns, as well as…
Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study
Alessandro Berti, Daniel Schuster, Wil M. P. van der Aalst
Large Language Models (LLMs) are capable of answering questions in natural language for various purposes. With recent advancements (such as GPT-4), LLMs perform at a level comparab…
Applying Process Mining on Scientific Workflows: a Case Study on High Performance Computing Data
Zahra Sadeghibogar, Alessandro Berti, Marco Pegoraro +1
Computer-based scientific experiments are becoming increasingly data-intensive, necessitating the use of High-Performance Computing (HPC) clusters to handle large scientific workfl…
A Collection of Simulated Event Logs for Fairness Assessment in Process Mining
Timo Pohl, Alessandro Berti, Mahnaz Sadat Qafari +1
The analysis of fairness in process mining is a significant aspect of data-driven decision-making, yet the advancement in this field is constrained due to the scarcity of event dat…
Object-Centric Alignments
Lukas Liss, Jan Niklas Adams, Wil M. P. van der Aalst
Processes tend to interact with other processes and operate on various objects of different types. These objects can influence each other creating dependencies between sub-processe…
Revisiting the Alpha Algorithm To Enable Real-Life Process Discovery Applications -- Extended Report
Aaron Küsters, Wil M. P. van der Aalst
The Alpha algorithm was the first process discovery algorithm that was able to discover process models with concurrency based on incomplete event data while still providing formal…
Discovering Process Models that Support Desired Behavior and Avoid Undesired Behavior
Ali Norouzifar, Wil van der Aalst
Process discovery is one of the primary process mining tasks and starting point for process improvements using event data. Existing process discovery techniques aim to find process…
Comparing Ordering Strategies For Process Discovery Using Synthesis Rules
Tsung-Hao Huang, Wil M. P. van der Aalst
Process discovery aims to learn process models from observed behaviors, i.e., event logs, in the information systems.The discovered models serve as the starting point for process m…
Discovering Sound Free-choice Workflow Nets With Non-block Structures
Tsung-Hao Huang, Wil M. P. van der Aalst
Process discovery aims to discover models that can explain the behaviors of event logs extracted from information systems. While various approaches have been proposed, only a few g…
Interactive Process Identification and Selection from SAP ERP
Julian Weber, Alessandro Berti, Gyunam Park +2
SAP ERP is one of the most popular information systems supporting various organizational processes, e.g., O2C and P2P. However, the amount of processes and data contained in SAP ER…
Enhancing Data-Awareness of Object-Centric Event Logs
Alexandre Goossens, Johannes De Smedt, Jan Vanthienen +1
When multiple objects are involved in a process, there is an opportunity for processes to be discovered from different angles with new information that previously might not have be…
Discovering Process Models With Long-Term Dependencies While Providing Guarantees and Filtering Infrequent Behavior Patterns
Lisa Luise Mannel, Wil M. P. van der Aalst
In process discovery, the goal is to find, for a given event log, the model describing the underlying process. While process models can be represented in a variety of ways, Petri n…
Control-Flow-Based Querying of Process Executions from Partially Ordered Event Data
Daniel Schuster, Michael Martini, Sebastiaan J. van Zelst +1
Event logs, as viewed in process mining, contain event data describing the execution of operational processes. Most process mining techniques take an event log as input and generat…
High-Level Event Mining: A Framework
Bianka Bakullari, Wil M. P. van der Aalst
Process mining methods often analyze processes in terms of the individual end-to-end process runs. Process behavior, however, may materialize as a general state of many involved pr…
OC-PM: Analyzing Object-Centric Event Logs and Process Models
Alessandro Berti, Wil van der Aalst
Object-centric process mining is a novel branch of process mining that aims to analyze event data from mainstream information systems (such as SAP) more naturally, without being fo…
Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study
Elisabetta Benevento, Marco Pegoraro, Mattia Antoniazzi +6
The discipline of process mining has a solid track record of successful applications to the healthcare domain. Within such research space, we conducted a case study related to the…
Defining Cases and Variants for Object-Centric Event Data
Jan Niklas Adams, Daniel Schuster, Seth Schmitz +2
The execution of processes leaves traces of event data in information systems. These event data can be analyzed through process mining techniques. For traditional process mining te…
PM4Py-GPU: a High-Performance General-Purpose Library for Process Mining
Alessandro Berti, Minh Phan Nghia, Wil M. P. van der Aalst
Open-source process mining provides many algorithms for the analysis of event data which could be used to analyze mainstream processes (e.g., O2C, P2P, CRM). However, compared to c…
Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data
Marco Pegoraro, Merih Seran Uysal, Tom-Hendrik Hülsmann +1
Among the many sources of event data available today, a prominent one is user interaction data. User activity may be recorded during the use of an application or website, resulting…
An XES Extension for Uncertain Event Data
Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst
Event data, often stored in the form of event logs, serve as the starting point for process mining and other evidence-based process improvements. However, event data in logs are of…