[HTML][HTML] Recognizing task-level events from user interaction data
A Rebmann, H van der Aa - Information Systems, 2024 - Elsevier
User interaction data comprises events that capture individual actions that a user performs
on their computer. Such events provide detailed records about how users carry out their …
on their computer. Such events provide detailed records about how users carry out their …
Inferring missing entity identifiers from context using event knowledge graphs
Complete event data is essential to perform rich analysis. However, real-life systems might
fail in recording the (correct) case identifiers the system has operated on, resulting in …
fail in recording the (correct) case identifiers the system has operated on, resulting in …
Performance-preserving event log sampling for predictive monitoring
M Fani Sani, M Vazifehdoostirani, G Park… - Journal of Intelligent …, 2023 - Springer
Predictive process monitoring is a subfield of process mining that aims to estimate case or
event features for running process instances. Such predictions are of significant interest to …
event features for running process instances. Such predictions are of significant interest to …
Resolving uncertain case identifiers in interaction logs: A user study
M Pegoraro, MS Uysal, TH Hülsmann… - arXiv preprint arXiv …, 2022 - arxiv.org
Modern software systems are able to record vast amounts of user actions, stored for later
analysis. One of the main types of such user interaction data is click data: the digital trace of …
analysis. One of the main types of such user interaction data is click data: the digital trace of …
Inter-organizational collaborative BPMN 2.0 business process discovery
L Peña, D Andrade, A Delgado, D Calegari - Journal of Intelligent …, 2024 - Springer
Inter-organizational collaborative business processes involve interactions between
participants from different organizations to achieve a common objective collaboratively …
participants from different organizations to achieve a common objective collaboratively …
Semantics-aware event data transformation for process mining
AG Rebmann - 2024 - madoc.bib.uni-mannheim.de
Process mining comprises methods to analyze organizational processes based on event
data recorded by information systems during process execution. These methods generate …
data recorded by information systems during process execution. These methods generate …
[PDF][PDF] Can the Study of Trajectories Help to Extract Information from Business Processes?
Abstract Business Process Management (BPM) is a key field of research that needs to be
considered both for the management of production processes (in terms of the realisation of …
considered both for the management of production processes (in terms of the realisation of …
Applying Predictive Process Monitoring to Predict User Behavior with Click Data Behavior with Click Data-Short Paper
TW Jana Feiler - AKWI Jahrestagung 2024, 2024 - dl.gi.de
Predictive Process Monitoring (PPM) is used to predict the future behavior of running
process instances using machine learning techniques. While traditional PPM focuses and …
process instances using machine learning techniques. While traditional PPM focuses and …
[PDF][PDF] Applying Predictive Process Monitoring to Predict User Behavior with Click Data
J Feiler, T Walter - AKWI Jahrestagung 2024 Wissenschaft und Praxis … - dl.gi.de
Predictive Process Monitoring (PPM) is used to predict the future behavior of running
process instances using machine learning techniques. While traditional PPM focuses and …
process instances using machine learning techniques. While traditional PPM focuses and …
[PDF][PDF] CURRENT POSITIONS
A von Humboldt Professorship - EDUCATION, 1988 - pads.rwth-aachen.de
Online courses: Four open online process mining courses, eg, Process Mining: Data science
in Action (Coursera with> 158.000 registered participants) Course and curriculum …
in Action (Coursera with> 158.000 registered participants) Course and curriculum …