Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Data Science : Theory, Analysis and Applications, PDF eBook

Data Science : Theory, Analysis and Applications PDF

Edited by Qurban A Memon, Shakeel Ahmed Khoja

PDF

Please note: eBooks can only be purchased with a UK issued credit card and all our eBooks (ePub and PDF) are DRM protected.

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.