Collecting sensory data about people and the environment is now achievable using the latest advances of sensor and networking technologies such as environmental sensors, wearable sensors and social networks, but the challenge is properly utilizing such huge amounts of data.
Big Data Analytics for Sensor Network Collected Intelligence addresses this concern by exploring the state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, examine people’s behaviors, and provide better services unobtrusively.
The book begins by exploring big data architecture and platforms, covering cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. The book examines big data analytics, analyzing statistical methods for data analytics and data mining. It provides a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Big Data Analytics for Sensor Network Collected Intelligence concludes with discussion of Internet of Things and its applications in a variety of settings.
- Contributions from noted scholars around the globe in computer science and electrical engineering
- Provides a broad overview of the recent developments in sensor collected intelligence
- Editorial team comprised of the leading thinkers in big data analytics