Association and anomaly detection are key unsupervised learning techniques used to uncover hidden patterns and identify unusual behaviors in data. Association methods find meaningful relationships between items, while anomaly detection spots rare or abnormal patterns. These techniques help improve recommendations, detect fraud, and enhance system monitoring across various industries.
Discover Association Rule Learning, a technique used to uncover hidden relationships between items. This lesson explains support, confidence, lift, and how Market Basket Analysis helps businesses improve recommendations and sales strategies.
Learn how anomaly detection identifies rare or unusual patterns in data. This lesson covers statistical, clustering-based, and machine learning methods used in fraud detection, system monitoring, and security analytics.
