Book Description The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel research work on challenging topics in the area surrounding data science. In this book, some of the chapters are written in tutorial style concerning machine learning algorithms, data analysis, information design, infographics, relevant applications, etc. The book is structured as follows: • Part I: Data Science: Theory, Concepts, and Algorithms This part comprises five chapters on data Science theory, concepts, techniques and algorithms. • Part II: Data Design and Analysis This part comprises five chapters on data design and analysis. • Part III: Applications and New Trends in Data Science This part comprises four chapters on applications and new trends in data science. Table of Contents Preface Editors Contributors Part I Data Science: Theory, Concepts, and Algorithms Framework for Visualization of GeoSpatial Query Processing by Integrating MongoDB with Spark S.Vasavi, P.Vamsi Krishna, Anu A. Gokhale A Study on Meta-heuristic based Neural Networks for Image Segmentation Purposes Navid Razmjooy, Vania V. Estrela, Hermes J. Loschi Study and Analysis of a Feature Subset Selection Technique using Penguin Search Optimization Algorithm Agnip Dasgupta, Ardhendu Banerjee, Aniket Ghosh Dastidar, Antara Barman, Sanjay Chakraborty A Physical Design Strategy on a NoSQL DBMS Marcos Jota, Marlene Goncalves, Ritces Parra Large-Scale Distributed Stream Data Collection Schemes Tomoya Kawakami, Tomoki Yoshihisa, and Yuuichi Teranishic Part II Data Design and Analysis Big Data Analysis and Management in Healthcare R.DHAYA, R.KANTHAVEL, FAHAD ALGARNI, M.DEVI Healthcare Analytics: A Case Study Approach using the Framingham Heart Study Carol Hargreaves Bioinformatics Analysis of Dysfunctional (mutated) Proteins of Cardiac Ion Channels Underlying the Brugada Syndrome Carlos Polanco, Manlio F. M?rquez, Vladimir N. Uversky, Thomas Buhse, and Miguel Arias Estrada Discrimination of Healthy Skin, Superficial Epidermal Burns and Full-thickness Burns from 2D-Coloured Images Using Machine Learning Aliyu Abubakar, Hassan Ugail, Ali Maina Bukar, Kirsty M. Smith A Study and Analysis of an Emotion Classification and State Transition System in Brain Computer Interfacing Subhadip Pal, Shailesh Shaw, Tarun Saurabh, Yashwant Kumar, Sanjay Chakraborty Part III Applications and New Trends in Data Science Comparison of Gradient and Textural Features for Writer Retrieval in Handwritten Documents Mohamed Lamine Bouibed, Hassiba Nemmour and Youcef Chibani A Supervised Guest Satisfaction Classification with Reviews Text and Ratings Himanshu Sharma, Aakash and Anu G. Aggarwal Sentiment Analysis for Decision Making Using Machine Learning Algorithms Mohamed Alloghani, Thar Baker, Abir Hussain, Mohammed Khalaf, Jamila MUSTAFINA, Mohammed Al-Khafajiy Deep Learning Model: Emotion Recognition from Continuous Action Video R. Santhosh kumar, M. Kalaiselvi Geetha Index
Book Description The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data science. This book can prove useful to the researchers, professors, research students and practitioners as it reports novel research work on challenging topics in the area surrounding data science. In this book, some of the chapters are written in tutorial style concerning machine learning algorithms, data analysis, information design, infographics, relevant applications, etc. The book is structured as follows: • Part I: Data Science: Theory, Concepts, and Algorithms This part comprises five chapters on data Science theory, concepts, techniques and algorithms. • Part II: Data Design and Analysis This part comprises five chapters on data design and analysis. • Part III: Applications and New Trends in Data Science This part comprises four chapters on applications and new trends in data science. Table of Contents Preface Editors Contributors Part I Data Science: Theory, Concepts, and Algorithms Framework for Visualization of GeoSpatial Query Processing by Integrating MongoDB with Spark S.Vasavi, P.Vamsi Krishna, Anu A. Gokhale A Study on Meta-heuristic based Neural Networks for Image Segmentation Purposes Navid Razmjooy, Vania V. Estrela, Hermes J. Loschi Study and Analysis of a Feature Subset Selection Technique using Penguin Search Optimization Algorithm Agnip Dasgupta, Ardhendu Banerjee, Aniket Ghosh Dastidar, Antara Barman, Sanjay Chakraborty A Physical Design Strategy on a NoSQL DBMS Marcos Jota, Marlene Goncalves, Ritces Parra Large-Scale Distributed Stream Data Collection Schemes Tomoya Kawakami, Tomoki Yoshihisa, and Yuuichi Teranishic Part II Data Design and Analysis Big Data Analysis and Management in Healthcare R.DHAYA, R.KANTHAVEL, FAHAD ALGARNI, M.DEVI Healthcare Analytics: A Case Study Approach using the Framingham Heart Study Carol Hargreaves Bioinformatics Analysis of Dysfunctional (mutated) Proteins of Cardiac Ion Channels Underlying the Brugada Syndrome Carlos Polanco, Manlio F. M?rquez, Vladimir N. Uversky, Thomas Buhse, and Miguel Arias Estrada Discrimination of Healthy Skin, Superficial Epidermal Burns and Full-thickness Burns from 2D-Coloured Images Using Machine Learning Aliyu Abubakar, Hassan Ugail, Ali Maina Bukar, Kirsty M. Smith A Study and Analysis of an Emotion Classification and State Transition System in Brain Computer Interfacing Subhadip Pal, Shailesh Shaw, Tarun Saurabh, Yashwant Kumar, Sanjay Chakraborty Part III Applications and New Trends in Data Science Comparison of Gradient and Textural Features for Writer Retrieval in Handwritten Documents Mohamed Lamine Bouibed, Hassiba Nemmour and Youcef Chibani A Supervised Guest Satisfaction Classification with Reviews Text and Ratings Himanshu Sharma, Aakash and Anu G. Aggarwal Sentiment Analysis for Decision Making Using Machine Learning Algorithms Mohamed Alloghani, Thar Baker, Abir Hussain, Mohammed Khalaf, Jamila MUSTAFINA, Mohammed Al-Khafajiy Deep Learning Model: Emotion Recognition from Continuous Action Video R. Santhosh kumar, M. Kalaiselvi Geetha Index
