Automated Author ProfileElkoumy, Gamal
University of Tartu, Tartu Estonia0000-0002-0491-9722
Elkoumy, Gamal
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 5.8 (sum of 6 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
In this document, we list the selected event logs, their characteristics, and their descriptive statistics. Also, attached to this document the anonymized event logs.
Authors
- Elkoumy, Gamal ;
- Dumas, Marlon
In this document, we list the selected event logs, their characteristics, and their descriptive statistics. Also, attached to this document the anonymized event logs.
Authors
- Elkoumy, Gamal ;
- Dumas, Marlon
The anonymized event logs of the experiments in the paper "Differentially Private Release of Event Logs for Process Mining"
Authors
- Elkoumy, Gamal ;
- Pankova, Alisa ;
- Dumas, Marlon
The anonymized event logs of the experiments in the paper "Differentially Private Release of Event Logs for Process Mining"
Authors
- Elkoumy, Gamal ;
- Pankova, Alisa ;
- Dumas, Marlon
In this archive, we provide supplementary material for our paper entitled "Mine Me but Don’t Single Me Out: DifferentiallyPrivate Event Logs for Process Mining". We list the selected event logs and their characteristics and descriptive statistics. Also, this archive contains the anonymized event logs as the result of the experiments. The source code is available on GitHub.
Authors
- Elkoumy, Gamal ;
- Pankova, Alisa ;
- Dumas, Marlon
In this archive, we provide supplementary material for our paper entitled "Mine Me but Don’t Single Me Out: DifferentiallyPrivate Event Logs for Process Mining". We list the selected event logs and their characteristics and descriptive statistics. Also, this archive contains the anonymized event logs as the result of the experiments. The source code is available on GitHub.
Authors
- Elkoumy, Gamal ;
- Pankova, Alisa ;
- Dumas, Marlon