This book is a comprehensive guide that explores the latest developments in anomaly detection techniques across a range of fields, including cybersecurity, finance, image processing, sensor networks, social network analysis, health systems, and IoT systems. With 6 chapters covering various topics such as deep learning-based anomaly detection, feature selection and extraction techniques, ensemble methods, and evaluation metrics, this book offers a comprehensive understanding of advanced anomaly detection techniques and their applications in different fields. This book will be an excellent resource for researchers, practitioners, and students interested in anomaly detection and its applications in various domains.
Edited by:
Abdul Wahid,
Praveen Kumar Donta
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions:
Height: 234mm,
Width: 156mm,
Weight: 520g
ISBN: 9781032729305
ISBN 10: 1032729309
Pages: 188
Publication Date: 08 May 2025
Audience:
College/higher education
,
Professional and scholarly
,
Primary
,
Undergraduate
Format: Hardback
Publisher's Status: Forthcoming
Chapter 1 : Anomaly Detection in Carbon Sequestration: Advancements, Challenges, and Future Directions. Chapter 2: Intelligent Anomaly Detection in Social Media. Chapter 3: Anomaly Detection in Health-Care. Chapter 4: Safeguarding Health in the Cloud: A Cutting-Edge Machine Learning Intrusion Detection System. Chapter 5: Deep Learning for Anomaly Detection in IoT Time Series. Chapter 6: Pen Ink Analysis in Handwritten Document Forensics: Classification and Current Trends
Abdul Wahid, PhD, Department of Computer Science and Engineering, Indian Institute of Information Technology, Dharwad, India. Praveen Kumar Donta, PhD, Department of Computer and Systems Sciences, Stockholm, Sweden.
