Advanced Techniques for Anomaly Detection (eBook, ePUB)

Beyond the Basics
Redaktion: Wahid, Abdul; Kumar Donta, Praveen

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 8. Mai 2025
• Englisch
• ISBN-13: 9781040321560
• Artikelnr.: 73813539

Autorenporträt

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.

Inhaltsangabe

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. Chapter 5: Deep Learning for Anomaly Detection in IoT Time
Series. Chapter 6: Pen Ink Analysis in Handwritten Document Forensics:
Classification and Current Trends