Project by Viktória Koncserová: Anomaly Detection with Real-Time Tracking of Fault Origin

In today’s data-driven world, precise decision-making hinges on accurate data analysis. However, anomalies—unusual data points that differ significantly from the rest of the dataset—can still arise, posing challenges to this process. Anomaly detection, which identifies these outliers, and root cause analysis, which investigates their origins, are essential for maintaining data Read more…