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Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

Overview of attention for book
Cover of 'Internet of Things and Big Data Analytics Toward Next-Generation Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Internet of Things Based Wireless Body Area Network in Healthcare
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    Chapter 2 Mobile Sensor Networks and Robotics
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    Chapter 3 Big Data Analytics with Machine Learning Tools
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    Chapter 4 Real Time Big Data Analytics to Derive Actionable Intelligence in Enterprise Applications
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    Chapter 5 Revealing Big Data Emerging Technology as Enabler of LMS Technologies Transferability
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    Chapter 6 Performance Evaluation of Big Data and Business Intelligence Open Source Tools: Pentaho and Jaspersoft
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    Chapter 7 IoT Gateway for Smart Devices
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    Chapter 8 Smart Manufacturing in the Internet of Things Era
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    Chapter 9 Home Automation Using IoT
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    Chapter 10 A Prototype of IoT-Based Real Time Smart Street Parking System for Smart Cities
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    Chapter 11 Smart Irrigation: Towards Next Generation Agriculture
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    Chapter 12 Greening the Future: Green Internet of Things (G-IoT) as a Key Technological Enabler of Sustainable Development
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    Chapter 13 Design of Cloud-Based Green IoT Architecture for Smart Cities
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    Chapter 14 Internet of Things Shaping Smart Cities: A Survey
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    Chapter 15 Big Data Analytics for Smart Cities
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    Chapter 16 Bigdata Analytics in Industrial IoT
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    Chapter 17 High Capacity and Secure Electronic Patient Record (EPR) Embedding in Color Images for IoT Driven Healthcare Systems
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    Chapter 18 Practical Techniques for Securing the Internet of Things (IoT) Against Side Channel Attacks
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    Chapter 19 Framework of Temporal Data Stream Mining by Using Incrementally Optimized Very Fast Decision Forest
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    Chapter 20 Sentiment Analysis and Mining of Opinions
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    Chapter 21 A Modified Hybrid Structure for Next Generation Super High Speed Communication Using TDLTE and Wi-Max
Overall attention for this book and its chapters
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Internet of Things and Big Data Analytics Toward Next-Generation Intelligence
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-319-60435-0
978-3-31-960434-3, 978-3-31-960435-0

Prof. Dr. Nilanjan Dey, Prof. Dr. Aboul Ella Hassanien, Ph.D. Chintan Bhatt, Dr. Amira S. Ashour, Prof. Suresh Chandra Satapathy

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 210 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 52 25%
Student > Ph. D. Student 36 17%
Student > Bachelor 19 9%
Researcher 16 8%
Student > Doctoral Student 11 5%
Other 36 17%
Unknown 40 19%
Readers by discipline Count As %
Computer Science 76 36%
Engineering 41 20%
Business, Management and Accounting 11 5%
Economics, Econometrics and Finance 10 5%
Medicine and Dentistry 4 2%
Other 20 10%
Unknown 48 23%