Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Anomaly Detection and Complex Event Processing Over Iot Data Streams: With Application to Ehealth and Patient Data Monitoring

Anomaly Detection and Complex Event Processing Over Iot Data Streams: With Application to Ehealth and Patient Data Monitoring

Schneider, Patrick
Xhafa, Fatos

Paperback

ApplicationsGeneral ComputersGeneral Science

ISBN10: 0128238186
ISBN13: 9780128238189
Publisher: Academic Press
Published: Jan 19 2022
Pages: 406
Weight: 1.53
Height: 0.83 Width: 7.50 Depth: 9.25
Language: English

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.

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