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Multimedia Big Data Computing for IoT Applications

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Cover of 'Multimedia Big Data Computing for IoT Applications'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Multimedia Big Data Computing for IoT
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    Chapter 2 Energy Conservation in Multimedia Big Data Computing and the Internet of Things—A Challenge
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    Chapter 3 An Architecture for the Real-Time Data Stream Monitoring in IoT
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    Chapter 4 Deep Learning for Multimedia Data in IoT
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    Chapter 5 Random Forest-Based Sarcastic Tweet Classification Using Multiple Feature Collection
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    Chapter 6 Peak-to-Average Power Ratio Reduction in FBMC Using SLM and PTS Techniques
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    Chapter 7 Intelligent Personality Analysis on Indicators in IoT-MMBD-Enabled Environment
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    Chapter 8 Data Reduction in MMBD Computing
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    Chapter 9 Large-Scale MMBD Management and Retrieval
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    Chapter 10 Data Reduction Technique for Capsule Endoscopy
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    Chapter 11 Multimedia Social Big Data: Mining
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    Chapter 12 Advertisement Prediction in Social Media Environment Using Big Data Framework
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    Chapter 13 MMBD Sharing on Data Analytics Platform
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    Chapter 14 Legal/Regulatory Issues for MMBD in IoT
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    Chapter 15 Recent Advancements in Multimedia Big Data Computing for IoT Applications in Precision Agriculture: Opportunities, Issues, and Challenges
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    Chapter 16 Applications of Machine Learning in Improving Learning Environment
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    Chapter 17 Network-Based Applications of Multimedia Big Data Computing in IoT Environment
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    Chapter 18 Evolution in Big Data Analytics on Internet of Things: Applications and Future Plan
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mendeley
218 Mendeley
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Title
Multimedia Big Data Computing for IoT Applications
Published by
Springer Singapore, October 2019
DOI 10.1007/978-981-13-8759-3
ISBNs
978-9-81-138758-6, 978-9-81-138759-3
Editors

Tanwar, Sudeep, Tyagi, Sudhanshu, Kumar, Neeraj

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 218 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 12%
Student > Ph. D. Student 25 11%
Student > Bachelor 21 10%
Researcher 20 9%
Student > Doctoral Student 8 4%
Other 31 14%
Unknown 86 39%
Readers by discipline Count As %
Computer Science 29 13%
Engineering 29 13%
Social Sciences 13 6%
Agricultural and Biological Sciences 10 5%
Business, Management and Accounting 7 3%
Other 38 17%
Unknown 92 42%