This book provides comprehensive coverage of the field of outlier analysis from a computer science point of view.

This book constitutes revised and selected papers from the scientific satellite events held in conjunction with the18th International Conference on Service-Oriented Computing, ICSOC 2020.

Authors Preetam Jinka and Baron Schwartz introduce the various types of monitoring systems, explain the logic behind them, and help you to navigate the labyrinth of current anomaly detection by outlining the tradeoffs associated with ...

This book will primarily target practitioners and researchers who are newcomers to the area of modern anomaly detection techniques. Advanced-level students in computer science will also find this book helpful with their studies.

The composite detector follows a filtration paradigm to mark each value in the series. The base model, chosen to be fast potentially at the expense of precision, identifies candidate anomalies in the series as each value arrives.

However, these methods are not mutually exclusive and can each offer complementary perspectives. This work first explores the successes and limitations of prediction-based and reconstruction-based methods.

Hence, the objective of this dissertation is to study low latency anomaly detection or QCD algorithms for systems with imperfect models such that any type of abnormality in the system can be detected as quickly as possible for reliable and ...