Editors:
- Includes state-of-the-art technologies and solutions for e-business engineering
- Provides a valuable reference resource for researchers and practitioners in academia and industry
- Illustrates innovative, multi-disciplinary approaches and applications in e-business
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 41)
Conference series link(s): ICEBE: International Conference on e-Business Engineering
Conference proceedings info: ICEBE 2019.
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Table of contents (42 papers)
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Front Matter
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Data and Big Data for e-Business
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Front Matter
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Data Driven Techniques for e-Business Management
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Front Matter
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Service-Oriented and Cloud
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Front Matter
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Software Engineering for e-Business
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Front Matter
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About this book
Editors and Affiliations
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ECB, Faculty of Engineering and Computing, Coventry University, Coventry, UK
Kuo-Ming Chao
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School of Software, Shanghai Jiaotong University, Shanghai, China
Lihong Jiang
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School of Business, University of New South Wales, Canberra, Australia
Omar Khadeer Hussain
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National Taiwan Ocean University, Keelung City, Taiwan
Shang-Pin Ma
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Faculty of Engineering and Computing, Coventry University, Coventry, UK
Xiang Fei
Bibliographic Information
Book Title: Advances in E-Business Engineering for Ubiquitous Computing
Book Subtitle: Proceedings of the 16th International Conference on e-Business Engineering (ICEBE 2019)
Editors: Kuo-Ming Chao, Lihong Jiang, Omar Khadeer Hussain, Shang-Pin Ma, Xiang Fei
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-3-030-34986-8
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-34985-1Published: 28 November 2019
eBook ISBN: 978-3-030-34986-8Published: 27 November 2019
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XXIX, 622
Number of Illustrations: 98 b/w illustrations, 196 illustrations in colour
Topics: Computational Intelligence, Cyber-physical systems, IoT, Data Engineering