Data Science : Theory, Analysis and Applications book cover
1st Edition

Data Science
Theory, Analysis and Applications

ISBN 9780367208615
Published October 4, 2019 by CRC Press
343 Pages 150 B/W Illustrations

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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




Part I Data Science: Theory, Concepts, and Algorithms

  1. Framework for Visualization of GeoSpatial Query Processing by Integrating MongoDB with Spark
  2. S.Vasavi, P.Vamsi Krishna, Anu A. Gokhale

  3. A Study on Meta-heuristic based Neural Networks for Image Segmentation Purposes
  4. Navid Razmjooy, Vania V. Estrela, Hermes J. Loschi

  5. Study and Analysis of a Feature Subset Selection Technique using Penguin Search Optimization Algorithm
  6. Agnip Dasgupta, Ardhendu Banerjee, Aniket Ghosh Dastidar, Antara Barman, Sanjay Chakraborty

  7. A Physical Design Strategy on a NoSQL DBMS
  8. Marcos Jota, Marlene Goncalves, Ritces Parra

  9. Large-Scale Distributed Stream Data Collection Schemes
  10. Tomoya Kawakami, Tomoki Yoshihisa, and Yuuichi Teranishic

    Part II Data Design and Analysis

  11. Big Data Analysis and Management in Healthcare

  13. Healthcare Analytics: A Case Study Approach using the Framingham Heart Study
  14. Carol Hargreaves

  15. Bioinformatics Analysis of Dysfunctional (mutated) Proteins of Cardiac Ion Channels Underlying the Brugada Syndrome
  16. Carlos Polanco, Manlio F. Márquez, Vladimir N. Uversky, Thomas Buhse, and Miguel Arias Estrada

  17. Discrimination of Healthy Skin, Superficial Epidermal Burns and Full-thickness Burns from 2D-Coloured Images Using Machine Learning
  18. Aliyu Abubakar, Hassan Ugail, Ali Maina Bukar, Kirsty M. Smith

  19. 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

  1. Comparison of Gradient and Textural Features for Writer Retrieval in Handwritten Documents
  2. Mohamed Lamine Bouibed, Hassiba Nemmour and Youcef Chibani

  3. A Supervised Guest Satisfaction Classification with Reviews Text and Ratings
  4. Himanshu Sharma, Aakash and Anu G. Aggarwal

  5. Sentiment Analysis for Decision Making Using Machine Learning Algorithms
  6. Mohamed Alloghani, Thar Baker, Abir Hussain, Mohammed Khalaf, Jamila MUSTAFINA, Mohammed Al-Khafajiy

  7. Deep Learning Model: Emotion Recognition from Continuous Action Video

R. Santhosh kumar, M. Kalaiselvi Geetha


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Qurban 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.