Challenges in Data Annotation for Fraud Detection
Challenges in Data Annotation for Fraud Detection
Covers issues such as imbalanced datasets, annotation inconsistency, and evolving fraud patterns. It explains how these challenges affect model accuracy and reliability. This topic helps readers anticipate and address annotation hurdles.