Big Data Analytics for Sensor-Network Collected Intelligence. A volume in Intelligent Data-Centric Systems

✍ Scribed by Hui-Huang Hsu, Chuan-Yu Chang and Ching-Hsien Hsu (Auth.)

• Publisher: Academic Press
• Year: 2017
• Tongue: English
• Leaves: 307
• Edition: 1st Edition
• Category: Library

✦ Synopsis

Big Data Analytics for Sensor-Network Collected Intelligence explores 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, how to examine people’s behaviors, and how to unobtrusively provide better services.

It begins by exploring big data architecture and platforms, covering the 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.

In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation.

Indexing: The books of this series are submitted to EI-Compendex and SCOPUS

✦ Table of Contents

Content:
Front Matter,Copyright,List of Contributors,PrefaceEntitled to full textPart I: Big Data Architecture and PlatformsChapter 1 - Big Data: A Classification of Acquisition and Generation Methods, Pages 3-20
Chapter 2 - Cloud Computing Infrastructure for Data Intensive Applications, Pages 21-62
Chapter 3 - Open Source Private Cloud Platforms for Big Data, Pages 63-80
Chapter 4 - Efficient Nonlinear Regression-Based Compression of Big Sensing Data on Cloud, Pages 83-98
Chapter 5 - Big Data Management on Wireless Sensor Networks, Pages 99-116
Chapter 6 - Extreme Learning Machine and Its Applications in Big Data Processing, Pages 117-150
Chapter 7 - Spatial Big Data Analytics for Cellular Communication Systems, Pages 153-166
Chapter 8 - Cognitive Applications and Their Supporting Architecture for Smart Cities, Pages 167-185
Chapter 9 - Deep Learning for Human Activity Recognition, Pages 186-204
Chapter 10 - Neonatal Cry Analysis and Categorization System Via Directed Acyclic Graph Support Vector Machine, Pages 205-222
Chapter 11 - Smart Building Applications and Information System Hardware Co-Design, Pages 225-240
Chapter 12 - Smart Sensor Networks for Building Safety, Pages 241-255
Chapter 13 - The Internet of Things and Its Applications, Pages 256-279
Chapter 14 - Smart Railway Based on the Internet of Things, Pages 280-297
Index, Pages 299-306

✦ Subjects

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