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Data Science and Digital Transformation in the Fourth Industrial Revolution

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  • © 2021

Overview

  • Presents recent research on Data Science and Digital Transformation in the Fourth Industrial Revolution
  • Provides a comprehensive overview of methodologies, recent advances and applications
  • Written by experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 929)

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Table of contents (17 chapters)

Keywords

About this book

This edited book presents scientific results of the International Semi-Virtual Workshop on Data Science and Digital Transformation in the Fourth Industrial Revolution (DSDT 2020) which was held on October 15, 2020, at Soongsil University, Seoul, Korea. The aim of this workshop was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them.

The workshop organizers selected the best papers from those papers accepted for presentation at the workshop.  The papers were chosen based on review scores submitted by members of the program committee and underwent furtherrigorous rounds of review. From this second round of review, 17 of the conference’s most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science.

 


Editors and Affiliations

  • Startup Support Foundation, Soongsil University, Seoul, Korea (Republic of)

    Jongbae Kim

  • ACIS International, Mount Pleasant, USA

    Roger Lee

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