Big Data Analytics for Sensor-Network Collected Intelligence

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 engineeringProvides a broad overview of the recent developments in sensor collected intelligenceEditorial team comprised of the leading thinkers in big data analytics INDICE: Part I: Big Data Architecture & Platforms 1. Big Data: A Classification of Acquisition and Generation Methods 2. Cloud Computing Infrastructure for Data Intensive Applications 3. Open Source Private Cloud Platforms for Big Data Part II: Big Data Processing & Management 4. Efficient Non-linear Regression based Compression of Big Sensing Data on Cloud 5. Toward Big Data Management on Wireless Sensor Networks 6. Extreme Learning Machine and Its Applications in Big Data Processing Part III: Big Data Analytics & Services 7. Spatial Big Data Analytics for Cellular Communication Systems: Methodologies, 8. Cognitive Applications and Their Supporting Architecture for Smart Cities 9. Deep Learning for Human Activity Recognition 10. Neonatal Cry Analysis and Categorization System via Directed Acyclic Graph Part IV: Big Data Intelligence & IOT Systems 11. Smart Building Applications and Information System Hardware Co-Design 12. Smart Sensor Networks for Building Safety 13. Internet of Things and its Applications 14. Smart Railway Based on Internet of Things

• ISBN: 978-0-12-809393-1
• Editorial: Morgan Kaufmann
• Encuadernacion: Rústica
• Páginas: 296
• Fecha Publicación: 01/03/2017
• Nº Volúmenes: 1
• Idioma: Inglés