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Advances in Data Science: Methodologies and Applications

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Cover of 'Advances in Data Science: Methodologies and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Big Data and Data Science: Methods and Applications
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    Chapter 2 Towards Abnormal Behavior Detection of Elderly People Using Big Data
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    Chapter 3 A Survey on Automatic Multimodal Emotion Recognition in the Wild
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    Chapter 4 “Speech Melody and Speech Content Didn’t Fit Together”—Differences in Speech Behavior for Device Directed and Human Directed Interactions
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    Chapter 5 Methods for Optimizing Fuzzy Inference Systems
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    Chapter 6 The Dark Side of Rationality. Does Universal Moral Grammar Exist?
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    Chapter 7 A New Unsupervised Neural Approach to Stationary and Non-stationary Data
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    Chapter 8 Fall Risk Assessment Using New sEMG-Based Smart Socks
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    Chapter 9 Describing Smart City Problems with Distributed Vulnerability
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    Chapter 10 Feature Set Ensembles for Sentiment Analysis of Tweets
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    Chapter 11 Supporting Data Science in Automotive and Robotics Applications with Advanced Visual Big Data Analytics
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    Chapter 12 Classification of Pilot Attentional Behavior Using Ocular Measures
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    Chapter 13 Audio Content-Based Framework for Emotional Music Recognition
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    Chapter 14 Neuro-Kernel-Machine Network Utilizing Deep Learning and Its Application in Predictive Analytics in Smart City Energy Consumption
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    Chapter 15 Learning Approaches for Facial Expression Recognition in Ageing Adults: A Comparative Study
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Title
Advances in Data Science: Methodologies and Applications
Published by
Springer International Publishing, October 2020
DOI 10.1007/978-3-030-51870-7
ISBNs
978-3-03-051869-1, 978-3-03-051870-7
Editors

Phillips-Wren, Gloria, Esposito, Anna, Jain, Lakhmi C.

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