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Advances in Data Science: Methodologies and Applications

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advances in Data Science: Methodologies and Applications/ edited by Gloria Phillips-Wren, Anna Esposito, Lakhmi C. Jain.
other author:	Phillips-Wren, Gloria.
Description:	XVII, 333 p. 127 illus., 93 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-51870-7
ISBN:	9783030518707

Advances in Data Science: Methodologies and Applications
Advances in Data Science: Methodologies and Applications[electronic resource] /edited by Gloria Phillips-Wren, Anna Esposito, Lakhmi C. Jain. - 1st ed. 2021. - XVII, 333 p. 127 illus., 93 illus. in color.online resource. - Intelligent Systems Reference Library,1891868-4408 ;. - Intelligent Systems Reference Library,67.

Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. The tremendous advances in computing power and intelligent techniques have opened many opportunities for managing data and investigating data in virtually every field, and the scope of data science is expected to grow over the next decade. These future research achievements will solve old challenges and create new opportunities for growth and development. Thus, the research presented in this book is interdisciplinary and covers themes embracing emotions, artificial intelligence, robotics applications, sentiment analysis, smart city problems, assistive technologies, speech melody, and fall and abnormal behavior detection. The book is directed to the researchers, practitioners, professors and students interested in recent advances in methodologies and applications of data science. An introduction to the topic is provided, and research challenges and future research opportunities are highlighted throughout.

ISBN: 9783030518707

Standard No.: 10.1007/978-3-030-51870-7doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Advances in Data Science: Methodologies and Applications
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