Data Science: Theory, Analysis and Applications

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.

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.