Anomaly detection and complex event processing over IoT data streams : with application to eHealth and patient data monitoring /: with application to eHealth and patient data monitoring. (2022)

• Record Type: Book
• Further Information: Note: Patrick Schneider, Fatos Xhafa.
• Authors: Schneider, Patrick; Xhafa, Fatos
• Contents: Part I - Fundamental concepts, models and methods; 1. IoT data streams: concepts and models; 2. Data stream processing: models and methods; 3. Anomaly detection; 4. Complex event processing; 5. Rule-based decision support systems for e-health; ; Part II - Architectures and technological solutions ; 6. State of the art in technological solutions for e-health; 7. IoT, edge, cloud architecture and communication protocols; 8. Machine learning; 9. Anomaly detection, classification and complex event processing; ; Part III – Case study: scalable IoT data processing and reasoning ecosystem in the field of health ; 10. Conceptual design: architecture; 11. Technical design: data processing; 12. Working procedure and analysis for an ECG dataset; 13. Ethics, emerging research trends, issues and challenges
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2022
• Extent: 1 online resource
• Subjects: 004.678; Internet of things; Anomaly detection (Computer security); Event processing (Computer science); Data mining
• Languages: English
• ISBNs: 9780128238196
• Related ISBNs: 9780128238189
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.