Local Outlier Factor for Anomaly Detection

Anomaly detection is an important application used across various verticals like healthcare, finance, manufacturing and so on. Local Outlier Factor is a popular density based technique for anomaly detection that does not require prior examples of anomalies. What are Advantages of LOF for Anomaly Detection? One of the main challenges with Anomaly detection is the…

Anomaly Detection Techniques

Anomaly detection is an important task with many applications – right from finding outliers in the data to avoid building bad models to applications such as fraud detection. One of the main challenges with anomaly detection is the lack of labeled data to build supervised classifier models. This video gives a brief overview of five…