Marco Pegoraro | DeepAI

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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...

0 Zahra Sadeghibogar, et al. ∙

∙ 07/03/2023

Vector Quantile Regression on Manifolds

Quantile regression (QR) is a statistical tool for distribution-free est...

0 Marco Pegoraro, et al. ∙

∙ 01/18/2023

Performance-Preserving Event Log Sampling for Predictive Monitoring

Predictive process monitoring is a subfield of process mining that aims ...

4 Mohammadreza Fani Sani, et al. ∙

∙ 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,...

0 Marco Pegoraro, et al. ∙

∙ 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 ...

13 Elisabetta Benevento, et al. ∙

∙ 05/30/2022

Harnessing spectral representations for subgraph alignment

With the rise and advent of graph learning techniques, graph data has be...

0 Marco Pegoraro, et al. ∙

∙ 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...

0 Marco Pegoraro, et al. ∙

∙ 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...

5 Marco Pegoraro, et al. ∙

∙ 04/08/2022

Process Mining on Uncertain Event Data

With the widespread adoption of process mining in organizations, the fie...

0 Marco Pegoraro, et al. ∙

∙ 04/08/2022

An XES Extension for Uncertain Event Data

Event data, often stored in the form of event logs, serve as the startin...

0 Marco Pegoraro, et al. ∙

∙ 04/04/2022

Event Log Sampling for Predictive Monitoring

Predictive process monitoring is a subfield of process mining that aims ...

12 Mohammadreza Fani Sani, et al. ∙

∙ 04/01/2022

A Web-Based Tool for Comparative Process Mining

Process mining techniques enable the analysis of a wide variety of proce...

0 Madhavi Bangalore Shankara Narayana, et al. ∙

∙ 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...

0 Marco Pegoraro, et al. ∙

∙ 08/19/2021

Probability Estimation of Uncertain Process Trace Realizations

Process mining is a scientific discipline that analyzes event data, ofte...

23 Marco Pegoraro, et al. ∙

∙ 08/04/2021

Learning to generate shape from global-local spectra

In this work, we present a new learning-based pipeline for the generatio...

7 Marco Pegoraro, et al. ∙

∙ 04/20/2021

Text-Aware Predictive Monitoring of Business Processes

The real-time prediction of business processes using historical event da...

13 Marco Pegoraro, et al. ∙

∙ 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...

0 Marco Pegoraro, et al. ∙

∙ 09/30/2020

Efficient Time and Space Representation of Uncertain Event Data

Process mining is a discipline which concerns the analysis of execution ...

0 Marco Pegoraro, et al. ∙

∙ 09/29/2020

Conformance Checking over Uncertain Event Data

Nowadays, more and more process data are automatically recorded by infor...

8 Marco Pegoraro, et al. ∙

∙ 02/19/2020

Efficient Construction of Behavior Graphs for Uncertain Event Data

The discipline of process mining deals with analyzing execution data of ...

0 Marco Pegoraro, et al. ∙

∙ 09/20/2019

Discovering Process Models from Uncertain Event Data

Modern information systems are able to collect event data in the form of...

0 Marco Pegoraro, et al. ∙

∙ 09/20/2019

Mining Uncertain Event Data in Process Mining

Nowadays, more and more process data are automatically recorded by infor...

0 Marco Pegoraro, et al. ∙

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