Anomaly Detection and Complex Event Processing over IoT Data Streams

  • Author : Patrick Schneider
  • Publsiher : Academic Press
  • Release : 01 September 2021
  • ISBN : 9780128238196
  • Page : 270 pages
  • Rating : 4/5 from 21 voters

Download or read online book entitled Anomaly Detection and Complex Event Processing over IoT Data Streams written by Patrick Schneider and published by Academic Press. This book was released on 01 September 2021 with total page 270 pages. Available in PDF, EPUB and Kindle. Get best books that you want by click Get Book Button and Read as many books as you like. Book Excerpt : 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. 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. Bio-metric signals, such as the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches based on the Hierarchical Temporal Memory (HTM) and Convolutional Neural Network (CNN) algorithms. The book discusses adaptive solutions that can be extended to other use cases to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenario. Provides the state-of-the-art in IoT Data Stream Processing, Semantic Data Enrichment, Reasoning and Knowledge Covers extraction (Anomaly Detection) Illustrates new, scalable and reliable processing techniques based on IoT stream technologies Offers applications to new, real-time anomaly detection scenarios in the health domain

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