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Anomaly Detection and Complex Event Processing Over IoT Data Streams

Author: Patrick (Affiliate Teaching Staff at Open University of Catalonia Schneider Fatos (Full Professor of Computer Science Xhafa

SKU: 9780128238189 Category:
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Description

Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. The book comprises fundamental models, concepts and algorithms, architectures and technological solutions as well as their application to eHealth. Case studies, such as the bio-metric signals stream processing are presented -the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches including the Hierarchical Temporal Memory and Deep Learning algorithms. The book discusses adaptive solutions to IoT stream processing that can be extended to different use cases from different fields of eHealth, to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenarios. The book ends with a discussion on ethics, emerging research trends, issues and challenges of IoT data stream processing. show more

Additional information

Weight 828 g
Author

Patrick (Affiliate Teaching Staff at Open University of Catalonia Schneider Fatos (Full Professor of Computer Science Xhafa

Publisher

Elsevier Science Publishing Co Inc

Binding

Paperback / softback

ISBN-10

0128238186

Dimensions

190 x 236 x 27

Language

English

Country of Pub

United States

Book Condition

New

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