DATA SCIENCE AND INNOVATIONS FOR INTELLIGENT SYSTEMS computational.

Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems. This b...

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Bibliographic Details
Corporate Author:	Taylor & Francis
Other Authors:	Taneja, Kavita (Editor), Taneja, Harmunish (Editor), Kumar, Kuldeep (Editor), Selwal, Arvind (Editor), Ouh, Lieh (Eng Lieh) (Editor)
Format:	eBook
Language:	English
Published:	[S.l.] : CRC PRESS, 2021.
Series:	Demystifying technologies for computational excellence.
Subjects:	Big data. Big data > Social aspects. Big data > Industrial applications. Expert systems (Computer science) Expert Systems Données volumineuses. Données volumineuses > Aspect social. Données volumineuses > Applications industrielles. Systèmes experts (Informatique) TECHNOLOGY / Operations Research COMPUTERS / Data Processing / General Big data Big data > Social aspects Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems. This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era. Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 is useful for the research community, start-up entrepreneurs, academicians, data-centered industries, and professeurs who are interested in exploring innovations in varied applications and the areas of data science.
Physical Description:	1 online resource
ISBN:	9781000456158 1000456153 9781003132080 1003132081 1000456161 9781000456165