Overview
Part of the book series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST, volume 248)
Included in the following conference series:
Conference proceedings info: BDTA 2017.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
International Conference on Big Data Technologies and Applications, BDTA 2017, held in Gwangju, South Korea, in November 2017. The 15 revised full papers were carefully reviewed and selected from 25 submissions and handle theoretical foundations and practical applications which premise the new generation of data analytics and engineering. The contributions deal with following topics: privacy and security, image processing, context awareness, s/w engineering and e-commerce, social media and health care.
Similar content being viewed by others
Keywords
- artificial intelligence
- clustering
- clustering algorithms
- data security
- e-commerce
- face recognition
- Human-Computer Interaction (HCI)
- image processing
- internet
- mobile computing
- mobile devices
- programming languages
- semantics
- software engineering
- telecommunication networks
- user interfaces
- wireless networks
- wireless telecommunication systems
- World Wide Web
Table of contents (15 papers)
-
Context Awareness
-
Social Media and Health Care
Other volumes
-
Big Data Technologies and Applications
Editors and Affiliations
Bibliographic Information
Book Title: Big Data Technologies and Applications
Book Subtitle: 8th International Conference, BDTA 2017, Gwangju, South Korea, November 23–24, 2017, Proceedings
Editors: Jason J. Jung, Pankoo Kim, Kwang Nam Choi
Series Title: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
DOI: https://doi.org/10.1007/978-3-319-98752-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018
Softcover ISBN: 978-3-319-98751-4Published: 09 November 2018
eBook ISBN: 978-3-319-98752-1Published: 08 November 2018
Series ISSN: 1867-8211
Series E-ISSN: 1867-822X
Edition Number: 1
Number of Pages: XII, 147
Number of Illustrations: 21 b/w illustrations, 57 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Software Engineering/Programming and Operating Systems, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer Systems Organization and Communication Networks