Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications - Tapa dura

 
9783036548517: Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications
Tapa dura
ISBN 10: 3036548513 ISBN 13: 9783036548517
Editorial: MDPI AG, 2022

Sinopsis

At present, data-intensive applications are one of the most prominent lines of work in data science. Most of these projects occur in the context of sensor data analytics, in which different devices, equipment, and software applications provide dynamic datasets to be processed and analyzed with machine learning algorithms. Application domains span multiple areas, including smart cities and intelligent transport, economy and finance, energy management, biomedical applications, geographical systems, agriculture, and livestock or cybersecurity.

This volume is centered on emerging challenges, methods, algorithms, and tools that address sensor data analytics, with a special emphasis on approaches that leverage information theory to accomplish projected goals. It includes practical applications following interdisciplinary approaches using real-world data. Articles are focused on new methods applied to a wide range of applications, from electricity markets to healthcare, among others. Practical cases with real or simulated data demonstrate the usefulness of these methods. Outcomes stemming from these works constitute essential inputs for data-driven decision making.

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Editorial
MDPI AG
Año de publicación
2022
Idioma
Inglés
ISBN 10 
3036548513
ISBN 13 
9783036548517
Encuadernación
Tapa dura
Número de páginas
182
Editor
Cano Emilio López, Ortega Felipe
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

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