Outlier Analysis

Explore the fascinating field of outlier analysis with this comprehensive book. Written by experts in data mining, statistics, and computer science, it covers a range of topics, including commonly used techniques, data domains, and key applications. Whether you're a student or practitioner, you'll benefit from the simplified content and real-world examples provided. Discover linear methods, proximity-based methods, subspace methods, and supervised methods, as well as how they can be applied to domains such as credit card fraud detection, medical diagnosis, and social network analysis.