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 1: 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.
Part I Data Science: Theory, Concepts, and Algorithms
S.Vasavi, P.Vamsi Krishna, Anu A. Gokhale
Navid Razmjooy, Vania V. Estrela, Hermes J. Loschi
Agnip Dasgupta, Ardhendu Banerjee, Aniket Ghosh Dastidar, Antara Barman, Sanjay Chakraborty
Marcos Jota, Marlene Goncalves, Ritces Parra
Tomoya Kawakami, Tomoki Yoshihisa, and Yuuichi Teranishic
Part II Data Design and Analysis
R.DHAYA, R.KANTHAVEL, FAHAD ALGARNI, M.DEVI
Carlos Polanco, Manlio F. Márquez, Vladimir N. Uversky, Thomas Buhse, and Miguel Arias Estrada
Aliyu Abubakar, Hassan Ugail, Ali Maina Bukar, Kirsty M. Smith
Subhadip Pal, Shailesh Shaw, Tarun Saurabh, Yashwant Kumar, Sanjay Chakraborty
Part III Applications and New Trends in Data Science
Mohamed Lamine Bouibed, Hassiba Nemmour and Youcef Chibani
Himanshu Sharma, Aakash and Anu G. Aggarwal
Mohamed Alloghani, Thar Baker, Abir Hussain, Mohammed Khalaf, Jamila MUSTAFINA, Mohammed Al-Khafajiy
R. Santhosh kumar, M. Kalaiselvi Geetha