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Advances in Data Science: Methodologies and Applications

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in Data Science: Methodologies and Applications/ edited by Gloria Phillips-Wren, Anna Esposito, Lakhmi C. Jain.
其他作者:	Jain, Lakhmi C.
面頁冊數:	XVII, 333 p. 127 illus., 93 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	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:

646849
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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