anomaly-detection-resources is anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!. Outlier Detection (also known as Anomaly Detection ) is an exciting yet challenging field, which aims to identify outlying objects that are deviant from the general data distribution. Outlier detection has been proven critical in many fields, such as credit card fraud analytics, network intrusion detection, and mechanical unit defect detection.

Data Mining: Concepts and Techniques (3rd) by Jiawei Han and Micheline Kamber and Jian Pei: Chapter 12 discusses outlier detection with many key points. [Google Search].