Advances in Data Science: Methodologies and Applications

✍ Scribed by Gloria Phillips-Wren, Anna Esposito, Lakhmi C. Jain

• Publisher: Springer International Publishing;Springer
• Year: 2021
• Tongue: English
• Leaves: 342
• Series: Intelligent Systems Reference Library 189
• Edition: 1st ed.
• Category: Library

✦ Synopsis

Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. The tremendous advances in computing power and intelligent techniques have opened many opportunities for managing data and investigating data in virtually every field, and the scope of data science is expected to grow over the next decade. These future research achievements will solve old challenges and create new opportunities for growth and development. Thus, the research presented in this book is interdisciplinary and covers themes embracing emotions, artificial intelligence, robotics applications, sentiment analysis, smart city problems, assistive technologies, speech melody, and fall and abnormal behavior detection. The book is directed to the researchers, practitioners, professors and students interested in recent advances in methodologies and applications of data science. An introduction to the topic is provided, and research challenges and future research opportunities are highlighted throughout.

✦ Table of Contents

Front Matter ....Pages i-xvii
Introduction to Big Data and Data Science: Methods and Applications (Gloria Phillips-Wren, Anna Esposito, Lakhmi C. Jain)....Pages 1-11
Towards Abnormal Behavior Detection of Elderly People Using Big Data (Giovanni Diraco, Alessandro Leone, Pietro Siciliano)....Pages 13-33
A Survey on Automatic Multimodal Emotion Recognition in the Wild (Garima Sharma, Abhinav Dhall)....Pages 35-64
“Speech Melody and Speech Content Didn’t Fit Together”—Differences in Speech Behavior for Device Directed and Human Directed Interactions (Ingo Siegert, Julia Krüger)....Pages 65-95
Methods for Optimizing Fuzzy Inference Systems (Iosif Papadakis Ktistakis, Garrett Goodman, Cogan Shimizu)....Pages 97-116
The Dark Side of Rationality. Does Universal Moral Grammar Exist? (Nelson Mauro Maldonato, Benedetta Muzii, Grazia Isabella Continisio, Anna Esposito)....Pages 117-123
A New Unsupervised Neural Approach to Stationary and Non-stationary Data (Vincenzo Randazzo, Giansalvo Cirrincione, Eros Pasero)....Pages 125-145
Fall Risk Assessment Using New sEMG-Based Smart Socks (G. Rescio, A. Leone, L. Giampetruzzi, P. Siciliano)....Pages 147-166
Describing Smart City Problems with Distributed Vulnerability (Stefano Marrone)....Pages 167-188
Feature Set Ensembles for Sentiment Analysis of Tweets (D. Griol, C. Kanagal-Balakrishna, Z. Callejas)....Pages 189-208
Supporting Data Science in Automotive and Robotics Applications with Advanced Visual Big Data Analytics (Marco Xaver Bornschlegl, Matthias L. Hemmje)....Pages 209-249
Classification of Pilot Attentional Behavior Using Ocular Measures (Kavyaganga Kilingaru, Zorica Nedic, Lakhmi C. Jain, Jeffrey Tweedale, Steve Thatcher)....Pages 251-276
Audio Content-Based Framework for Emotional Music Recognition (Angelo Ciaramella, Davide Nardone, Antonino Staiano, Giuseppe Vettigli)....Pages 277-292
Neuro-Kernel-Machine Network Utilizing Deep Learning and Its Application in Predictive Analytics in Smart City Energy Consumption (Miltiadis Alamaniotis)....Pages 293-307
Learning Approaches for Facial Expression Recognition in Ageing Adults: A Comparative Study (Andrea Caroppo, Alessandro Leone, Siciliano Pietro)....Pages 309-333

✦ Subjects

Engineering; Computational Intelligence