Internet of Things

Smart Anomaly Detection for Sensor Systems

Computational Intelligence Techniques for Sensor Networks and Applications

Autoren: Liotta, Antonio, Bosman, Hedde, Iacca, Giovanni

  • Explores the emerging area of sensor systems and applications from the particular perspective of anomaly detection
  • Shows the benefits of a range of computational approaches
  • Familiarizes with the most suitable machine learning techniques
Weitere Vorteile

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  • ISBN 978-3-319-00164-7
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Über dieses Buch

Like in the ecosystems of Nature, raw sensing is of little use unless we are also able to form higher-level interpretations of the collected data. How can we assess whether the sensed data is accurate? How can we tell whether a peculiar set of data arises from genuine conditions or is due to a faulty set of sensors? What is the normal operating condition of a digital sensor system? When is a deviation from normality to be interpreted as anomaly? This book explores the emerging area of sensor systems and applications from the particular perspective of anomaly detection. It gives the reader a head start on methods applicable to embedded sensor systems, showing the benefits of a range of computational approaches. After pinpointing the limitations of ‘deterministic’ anomaly detection, it becomes clear why the more promising approaches are those based on computational intelligence. The reader of this book will gain an in-depth understanding of anomaly detection in complex and unpredictable sensor systems, familiarizing with the most suitable machine learning techniques.

Dieses Buch kaufen

eBook  
  • ISBN 978-3-319-00164-7
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate:
  • eBooks sind auf allen Endgeräten nutzbar

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Bibliografische Information

Bibliographic Information
Buchtitel
Smart Anomaly Detection for Sensor Systems
Buchuntertitel
Computational Intelligence Techniques for Sensor Networks and Applications
Autoren
Titel der Buchreihe
Internet of Things
Copyright
2019
Verlag
Springer International Publishing
Copyright Inhaber
Springer International Publishing Switzerland
eBook ISBN
978-3-319-00164-7
Buchreihen ISSN
2199-1073
Auflage
1
Seitenzahl
150
Themen