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Data Extraction_Heimrich Alexander

<p>The Data Extraction was conducted to support the Research Questions for the Master Thesis: "<span>Enhancing Process Mining Robustness: Investigating Process Mining Techniques, Algorithms,<span> </span>and<span> </span>Anomaly<span> </span>Detection<span> </span>Methods<span> </span>in the Presence of Noisy"</span></p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0