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Synopsis
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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About the Author
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.
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Advanced Techniques for Anomaly Detection
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Advanced Techniques for Anomaly Detection (Paperback)
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Paperback. Condition: new. Paperback. 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. The book will also summarize various protocols that work based on learning strategies and applied intelligence in the context of IoT environments. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032732985
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Advanced Techniques for Anomaly Detection
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Advanced Techniques for Anomaly Detection
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Advanced Techniques for Anomaly Detection (Paperback)
Published by
Taylor & Francis Ltd, London, 2026
ISBN 10: 1032732989
ISBN 13: 9781032732985
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Paperback. Condition: new. Paperback. 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. The book will also summarize various protocols that work based on learning strategies and applied intelligence in the context of IoT environments. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781032732985
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Advanced Techniques for Anomaly Detection
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Condition: New. 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.This book is a compreh. Seller Inventory # 3577133283
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Advanced Techniques for Anomaly Detection (Paperback)
Published by
Taylor & Francis Ltd, London, 2026
ISBN 10: 1032732989
ISBN 13: 9781032732985
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Paperback. Condition: new. Paperback. 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. The book will also summarize various protocols that work based on learning strategies and applied intelligence in the context of IoT environments. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781032732985
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Advanced Techniques for Anomaly Detection : Beyond the Basics
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Taschenbuch. Condition: Neu. Neuware - 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. Seller Inventory # 9781032732985