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Advances in data science = methodolo...

Phillips-Wren, Gloria.

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Advances in data science = methodologies and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in data science/ edited by Gloria Phillips-Wren, Anna Esposito, Lakhmi C. Jain.
Reminder of title:	methodologies and applications /
other author:	Phillips-Wren, Gloria.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xvii, 333 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Electronic data processing. -
Online resource:	https://doi.org/10.1007/978-3-030-51870-7
ISBN:	9783030518707

Advances in data science = methodologies and applications /
Advances in data sciencemethodologies and applications /[electronic resource] :edited by Gloria Phillips-Wren, Anna Esposito, Lakhmi C. Jain. - Cham :Springer International Publishing :2021. - xvii, 333 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1891868-4394 ;. - Intelligent systems reference library ;v.189..

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:

520749
Electronic data processing.

LC Class. No.: QA76 / .A38 2021

Dewey Class. No.: 004

Advances in data science = methodologies and applications /
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245 0 0 $a Advances in data science $h [electronic resource] : $b methodologies and applications / $c edited by Gloria Phillips-Wren, Anna Esposito, Lakhmi C. Jain.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xvii, 333 p. : $b ill., digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.189
520 $a 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.
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650 1 4 $a Computational Intelligence. $3 1001631
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700 1 $a Phillips-Wren, Gloria. $3 901240
700 1 $a Esposito, Anna. $3 919287
700 1 $a Jain, Lakhmi C. $3 893365
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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)