Overview
- Presents recent research in the field of computational science & computational intelligence
- Includes the edited outcomes of the 4th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science Engineering, held May 29–31, 2019 in Honolulu, Hawaii
- Written by experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 844)
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About this book
This edited book presents the scientific outcomes of the 4th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2019) which was held on May 29–31, 2019 in Honolulu, Hawaii. The aim of the conference 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.
Presenting 15 of the conference’s most promising papers, the book discusses all aspects (theory, applications and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them.
Presenting 15 of the conference’s most promising papers, the book discusses all aspects (theory, applications and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them.
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Keywords
Table of contents (13 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
Bibliographic Information
Book Title: Big Data, Cloud Computing, and Data Science Engineering
Editors: Roger Lee
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-24405-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-24404-0Published: 08 August 2019
Softcover ISBN: 978-3-030-24407-1Published: 14 August 2020
eBook ISBN: 978-3-030-24405-7Published: 30 July 2019
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIII, 214
Topics: Data Engineering, Computational Intelligence, Big Data