activity
20212024
most citedA Framework for Explainable Concept Drift Detection in Process Mining

34 citations · 62 across the 7 of their papers we have counts for

collaborators

9 papers

cs.DB2024

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…

cs.DB2024★ 13 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.DB2023★ 2 cited

Discovering High-Quality Process Models Despite Data Scarcity

Jan Niklas Adams, Jari Peeperkorn, Tobias Brockhoff +6

Process discovery algorithms learn process models from executed activity sequences, describing concurrency, causality, and conflict. Concurrent activities require observing multipl…

cs.DB2023★ 1 cited

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…

cs.LG2022

A Framework for Extracting and Encoding Features from Object-Centric Event Data

Jan Niklas Adams, Gyunam Park, Sergej Levich +2

Traditional process mining techniques take event data as input where each event is associated with exactly one object. An object represents the instantiation of a process. Object-c…

cs.DB2022

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…

cs.AI2022★ 12 cited

OPerA: Object-Centric Performance Analysis

Gyunam Park, Jan Niklas Adams, Wil. M. P. van der Aalst

Performance analysis in process mining aims to provide insights on the performance of a business process by using a process model as a formal representation of the process. Such in…

cs.DB2021

Precision and Fitness in Object-Centric Process Mining

Jan Niklas Adams, Wil M. P. van der Aalst

Traditional process mining considers only one single case notion and discovers and analyzes models based on this. However, a single case notion is often not a realistic assumption…

cs.AI2021★ 34 cited

A Framework for Explainable Concept Drift Detection in Process Mining

Jan Niklas Adams, Sebastiaan J. van Zelst, Lara Quack +3

Rapidly changing business environments expose companies to high levels of uncertainty. This uncertainty manifests itself in significant changes that tend to occur over the lifetime…