Outlier Analysis

Focusing on outlier analysis, this book offers an in-depth exploration from a computer science perspective, merging techniques from data mining, machine learning, and statistics. It caters to a diverse audience by structuring its content into three distinct categories, allowing readers to navigate the complexities of identifying and understanding outliers effectively. The integration of various methodologies enhances its relevance across multiple disciplines, making it a valuable resource for researchers and practitioners alike.