13 citations · 33 across the 7 of their papers we have counts for
6 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…
PM4Py.LLM: a Comprehensive Module for Implementing PM on LLMs
Alessandro Berti
pm4py is a process mining library for Python implementing several process mining (PM) artifacts and algorithms. It also offers methods to integrate PM with large language models (L…
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…
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…
Leveraging Large Language Models (LLMs) for Process Mining (Technical Report)
Alessandro Berti, Mahnaz Sadat Qafari
This technical report describes the intersection of process mining and large language models (LLMs), specifically focusing on the abstraction of traditional and object-centric proc…
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…