Anomaly Detection: Principles, Methods, and Applications in Modern Data Analytics

The article gives a thorough description of anomaly detection, which is important in data analytics since it looks for anything unusual in a set of data. The article discusses the important rules for finding outliers, describes different anomaly detection techniques, and studies where it is used in finance, cybersecurity, manufacturing, healthcare, and retail. Current knowledge and techniques used in anomaly detection make this article useful for those wanting to build systems that catch anomalies in diverse fields.