
Big Data Analytics for Sensor-Network Collected Intelligence
Description
Key Features
- Contains contributions from noted scholars in computer science and electrical engineering from around the globe
- Provides a broad overview of recent developments in sensor collected intelligence
- Edited by a team comprised of leading thinkers in big data analytics
Readership
Big Data and Networking researchers, practitioners, and upper level and graduate students
Table of Contents
Part I: Big Data Architecture and Platforms
Chapter 1: Big Data: A Classification of Acquisition and Generation Methods
- Abstract
- 1 Big Data: A Classification
- 2 Big Data Generation Methods
- 3 Big Data: Data Acquisition Methods
- 4 Big Data: Data Management
- 5 Summary
- Glossary
Chapter 2: Cloud Computing Infrastructure for Data Intensive Applications
- Abstract
- Acknowledgments
- 1 Introduction
- 2 Big Data Nature and Definition
- 3 Big Data and Paradigm Change
- 4 Big Data Architecture Framework and Components
- 5 Big Data Infrastructure
- 6 Case Study: Bioinformatics Applications Deployment on Cloud
- 7 CYCLONE Platform for Cloud Applications Deployment and Management
- 8 Cloud Powered Big Data Applications Development and Deployment Automation
- 9 Big Data Service and Platform Providers
- 10 Conclusion
- Glossary
Chapter 3: Open Source Private Cloud Platforms for Big Data
- Abstract
- 1 Cloud Computing and Big Data as a Service
- 2 On-Premise Private Clouds for Big Data
- 3 Introduction to Selected Open Source Cloud Environments
- 4 Heterogeneous Computing in the Cloud
- 5 Case Study: The EMS, an On-Premise Private Cloud
- 6 Conclusion
- Disclaimer
Part II: Big Data Processing and Management
Chapter 4: Efficient Nonlinear Regression-Based Compression of Big Sensing Data on Cloud
- Abstract
- 1 Introduction
- 2 Related Work and Problem Analysis
- 3 Temporal Compression Model Based on Nonlinear Regression
- 4 Algorithms
- 5 Experiments
- 6 Conclusions and Future Work
Chapter 5: Big Data Management on Wireless Sensor Networks
- Abstract
- 1 Introduction
- 2 Data Management on WSNs
- 3 Big Data Tools
- 4 Put It Together: Big Data Management Architecture
- 5 Big Data Management on WSNs
- 6 Conclusion
- Glossary
Chapter 6: Extreme Learning Machine and Its Applications in Big Data Processing
- Abstract
- 1 Introduction
- 2 Extreme Learning Machine
- 3 Improved Extreme Learning Machine With Big Data
- 4 Applications
- 5 Conclusion
- Glossary
Part III: Big Data Analytics and Services
Chapter 7: Spatial Big Data Analytics for Cellular Communication Systems
- Abstract
- Acknowledgments
- 1 Introduction
- 2 Cellular Communications and Generated Data
- 3 Spatial Big Data Analytics
- 4 Typical Applications
- 5 Conclusion and Future Challenging Issues
- Glossary
Chapter 8: Cognitive Applications and Their Supporting Architecture for Smart Cities
- Abstract
- 1 Introduction
- 2 CSE for Smart City Applications
- 3 Anomaly Detection in Smart City Management
- 4 Functional Region and Socio-Demographic Regional Patterns Detection in Cities
- 5 Summary
- Glossary
Chapter 9: Deep Learning for Human Activity Recognition
- Abstract
- 1 Introduction
- 2 Motivations and Related Work
- 3 Convolutional Neural Networks in HAR
- 4 Experiments, Results, and Discussion
- 5 Conclusion
- Glossary
Chapter 10: Neonatal Cry Analysis and Categorization System Via Directed Acyclic Graph Support Vector Machine
- Abstract
- Acknowledgment
- 1 Introduction
- 2 Neonatal Cry Analysis and Categorization System
- 3 Experimental Results and Discussion
- 4 Conclusion
Part IV: Big Data Intelligence and IoT Systems
Chapter 11: Smart Building Applications and Information System Hardware Co-Design
- Abstract
- 1 Smart Building Applications
- 2 Emerging Information System Hardware
- 3 Big Data Application and Information Hardware Co-design
- 4 Conclusions
- Glossary
Chapter 12: Smart Sensor Networks for Building Safety
- Abstract
- Acknowledgments
- 1 Introduction
- 2 Related Works
- 3 Background: Modal Analysis
- 4 Distributed Modal Analysis
- 5 A Multiscale SHM Using Cloud
- 6 Conclusion
- Glossary
Chapter 13: The Internet of Things and Its Applications
- Abstract
- 1 Introduction
- 2 Collection of Big Data From IoT
- 3 IoT Analytics
- 4 Examples of IoT Applications
- 5 Conclusions
- Glossary
Chapter 14: Smart Railway Based on the Internet of Things
- Abstract
- Acknowledgment
- 1 Introduction
- 2 Architecture of the Smart Railway
- 3 IRIS for Smart Railways
- 4 Conclusion
- Glossary
Product details
- No. of pages: 326
- Language: English
- Copyright: © Academic Press 2017
- Published: February 2, 2017
- Imprint: Academic Press
- eBook ISBN: 9780128096253
- Paperback ISBN: 9780128093931
About the Editors
Hui-Huang Hsu

Affiliations and Expertise
Chuan-Yu Chang

Affiliations and Expertise
Ching-Hsien Hsu

Affiliations and Expertise
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