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Image of Data Science in Societal Applications: Concepts and Implications

Electronic Resource

Data Science in Societal Applications: Concepts and Implications

Nguyen, Nhu Gia - Personal Name; Pandey, Manjusha - Personal Name; Rautaray, Siddharth Swarup - Personal Name;

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The book provides an insight into the practical applications and theoretical foundation of data science. The book discusses new ways of embracing agile approaches to various facets of data science, including machine learning and artificial intelligence, data mining, data visualization, and communication. The book includes contributions from academia and industry experts detailing the shortfalls of current tools and techniques used and generating the blueprint of the new technologies. The topics covered in the book range from theoretical and foundational research, platforms, methods, applications, and tools in data science. The chapters in the book add a social, geographical, and temporal dimension to data science research. The papers included are application-oriented that prepare and use data in discovery research. This book will provide researchers and practitioners with a detailed snapshot of current progress in data science. Moreover, it will stimulate new study, research, and the development of new applications.


Availability
Inventory Code Barcode Call Number Location Status
2008000308EB0004909005.74 DatCentral Library (Database Springer E-Book)Available
Detail Information
Series Title
Studies in Big Data
Call Number
005.74 Dat
Publisher
Singapore : Springer Singapore., 2022
Collation
xi, 193p.: Ill.
Language
English
ISBN/ISSN
978-981-19-5154-1
Classification
005.74
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Data mining
Big Data
Specific Detail Info
-
Statement of Responsibility
RTS
Other version/related
TitleEditionLanguage
Data Science and Digital Transformation in the Fourth Industrial Revolutionen
File Attachment
  • Data Science in Societal Applications: Concepts and Implications
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