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07/06/2023
Applying Process Mining on Scientific Workflows: a Case Study
Computer-based scientific experiments are becoming increasingly data-int...
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07/03/2023
Vector Quantile Regression on Manifolds
Quantile regression (QR) is a statistical tool for distribution-free est...
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01/18/2023
Performance-Preserving Event Log Sampling for Predictive Monitoring
Predictive process monitoring is a subfield of process mining that aims ...
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11/21/2022
Resolving Uncertain Case Identifiers in Interaction Logs: A User Study
Modern software systems are able to record vast amounts of user actions,...
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09/22/2022
Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study
The discipline of process mining has a solid track record of successful ...
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05/30/2022
Harnessing spectral representations for subgraph alignment
With the rise and advent of graph learning techniques, graph data has be...
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05/10/2022
Probabilistic and Non-Deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques
Process mining is a subfield of process science that analyzes event data...
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04/08/2022
Uncertain Case Identifiers in Process Mining: A User Study of the Event-Case Correlation Problem on Click Data
Among the many sources of event data available today, a prominent one is...
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04/08/2022
Process Mining on Uncertain Event Data
With the widespread adoption of process mining in organizations, the fie...
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04/08/2022
An XES Extension for Uncertain Event Data
Event data, often stored in the form of event logs, serve as the startin...
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04/04/2022
Event Log Sampling for Predictive Monitoring
Predictive process monitoring is a subfield of process mining that aims ...
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04/01/2022
A Web-Based Tool for Comparative Process Mining
Process mining techniques enable the analysis of a wide variety of proce...
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02/08/2022
Analyzing Medical Data with Process Mining: a COVID-19 Case Study
The recent increase in the availability of medical data, possible throug...
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08/19/2021
Probability Estimation of Uncertain Process Trace Realizations
Process mining is a scientific discipline that analyzes event data, ofte...
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08/04/2021
Learning to generate shape from global-local spectra
In this work, we present a new learning-based pipeline for the generatio...
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04/20/2021
Text-Aware Predictive Monitoring of Business Processes
The real-time prediction of business processes using historical event da...
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03/09/2021
PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data
The discipline of process mining aims to study processes in a data-drive...
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09/30/2020
Efficient Time and Space Representation of Uncertain Event Data
Process mining is a discipline which concerns the analysis of execution ...
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09/29/2020
Conformance Checking over Uncertain Event Data
Nowadays, more and more process data are automatically recorded by infor...
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02/19/2020
Efficient Construction of Behavior Graphs for Uncertain Event Data
The discipline of process mining deals with analyzing execution data of ...
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09/20/2019
Discovering Process Models from Uncertain Event Data
Modern information systems are able to collect event data in the form of...
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09/20/2019