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Big Data Technologies and Applications

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Cover of 'Big Data Technologies and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Study on the Transaction Linkage Technique Combining the Designated Terminal
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    Chapter 2 Development of ADDA (Additional Data) Algorithm for IoT Security and Privacy
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    Chapter 3 Fine-Grained Data Traffic Management System Based on VPN Technology
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    Chapter 4 Segmentation of Hanacaraka Characters Using Double Projection Profile and Hough Transform
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    Chapter 5 Face Expression Extraction Using Eigenfaces, Fisherfaces and Local Binary Pattern Histogram Towards Predictive Analysis of Students Emotion in Programming
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    Chapter 6 Improving Indoor Positioning Performance in an Emergency Deployment System
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    Chapter 7 Network Engineering: Towards Data-Driven Framework for Network Configuration
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    Chapter 8 Detecting Human Emotion via Speech Recognition by Using Ensemble Classification Model
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    Chapter 9 Pattern Analysis of Natural Disasters in the Philippines
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    Chapter 10 Improving Software Automation Testing Using Jenkins, and Machine Learning Under Big Data
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    Chapter 11 Mining IT Job-Order Services: Basis for Policy Formulation & IT Resource Allocation
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    Chapter 12 eCommerce Sales Attrition: A Business Intelligence Visualization
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    Chapter 13 Keyboard and Mouse: Tools in Identifying Emotions During Computer Activities
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    Chapter 14 Waiting Time Screening in Healthcare
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    Chapter 15 Analysis and Visualization of University Twitter Feeds Sentiment
Attention for Chapter 14: Waiting Time Screening in Healthcare
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Chapter title
Waiting Time Screening in Healthcare
Chapter number 14
Book title
Big Data Technologies and Applications
Published by
Springer, Cham, November 2017
DOI 10.1007/978-3-319-98752-1_14
Book ISBNs
978-3-31-998751-4, 978-3-31-998752-1
Authors

José Neves, Henrique Vicente, Marisa Esteves, Filipa Ferraz, António Abelha, José Machado, Joana Machado, João Neves, Neves, José, Vicente, Henrique, Esteves, Marisa, Ferraz, Filipa Tinoco, Abelha, António, Machado, José Manuel, Machado, Joana, Neves, João, Ferraz, Filipa, Machado, José

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X Demographics

The data shown below were collected from the profile of 1 X user 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 40%
Professor 1 20%
Other 1 20%
Professor > Associate Professor 1 20%
Readers by discipline Count As %
Engineering 3 60%
Medicine and Dentistry 1 20%
Computer Science 1 20%