Data Science: Theory, Analysis and Application

DescriptionThe 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 AlgorithmsThis part comprises five chapters on data Science theory, concepts, techniques and algorithms.Part II: Data Design and AnalysisThis part comprises five chapters on data design and analysis.Part III: Applications and New Trends in Data ScienceThis part comprises four chapters on applications and new trends in data science.Table of ContentsPrefaceEditorsContributorsPart I Data Science: Theory, Concepts, and AlgorithmsFramework for Visualization of GeoSpatial Query Processing by Integrating MongoDB with Spark – S. Vasavi, P. Vamsi Krishna, Anu A. GokhaleA Study on Meta-heuristic based Neural Networks for Image Segmentation Purposes – Navid Razmjooy, Vania V. Estrela, Hermes J. LoschiStudy and Analysis of a Feature Subset Selection Technique using Penguin Search Optimization Algorithm – Agnip Dasgupta, Ardhendu Banerjee, Aniket Ghosh Dastidar, Antara Barman, Sanjay ChakrabortyA Physical Design Strategy on a NoSQL DBMS – Marcos Jota, Marlene Goncalves, Ritces ParraLarge-Scale Distributed Stream Data Collection Schemes – Tomoya Kawakami, Tomoki Yoshihisa, and Yuuichi TeranishicPart II Data Design and AnalysisBig Data Analysis and Management in Healthcare – R. DHAYA, R. KANTHAVEL, FAHAD ALGARNI, M. DEVIHealthcare Analytics: A Case Study Approach using the Framingham Heart Study – Carol HargreavesBioinformatics Analysis of Dysfunctional (mutated) Proteins of Cardiac Ion Channels Underlying the Brugada Syndrome – Carlos Polanco, Manlio F. Márquez, Vladimir N. Uversky, Thomas Buhse, and Miguel Arias EstradaDiscrimination 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. SmithA Study and Analysis of an Emotion Classification and State Transition System in Brain Computer Interfacing – Subhadip Pal, Shailesh Shaw, Tarun Saurabh, Yashwant Kumar, Sanjay ChakrabortyPart III Applications and New Trends in Data ScienceComparison of Gradient and Textural Features for Writer Retrieval in Handwritten Documents – Mohamed Lamine Bouibed, Hassiba Nemmour and Youcef ChibaniA Supervised Guest Satisfaction Classification with Reviews Text and Ratings – Himanshu Sharma, Aakash and Anu G. AggarwalSentiment Analysis for Decision Making Using Machine Learning Algorithms – Mohamed Alloghani, Thar Baker, Abir Hussain, Mohammed Khalaf, Jamila MUSTAFINA, Mohammed Al-KhafajiyDeep Learning Model: Emotion Recognition from Continuous Action Video – R. Santhosh kumar, M. Kalaiselvi GeethaIndexEditors BiographyQurban A. Memon has contributed at levels of teaching, research, and community service in the area of electrical and computer engineering. He has authored/co-authored ninety seven publications over a period of about eighteen years of his academic career.Shakeel Khoja is a Professor at Faculty of Computer Science, IBA and a Commonwealth Academic Fellow. He carries an overall professional experience of over 18 years and has over fifty research publications to his credit. He is also a reviewer of number of journals and conferences in the field of computer science.