Sensor Data Analytics
Gebundenes Buch

Sensor Data Analytics

Challenges and Methods for Data-Intensive Applications

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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, metho...