Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST, volume 194)
Conference series link(s): BDTA: International Conference on Big Data Technologies and Applications
Conference proceedings info: BDTA 2016.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (17 papers)
-
Front Matter
-
BDTA
-
Front Matter
-
-
ISSB
-
Front Matter
-
About this book
The 17 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.
Keywords
- algorithms
- artificial intelligence
- big data
- classification
- data mining
- data security
- feature extraction
- feature selection
- image processing
- Internet of Things (IoT)
- sensor networks
- sensors
- signal detection
- social networks
- ubiquitous computing
- user interfaces
- wireless telecommunication systems
- algorithm analysis and problem complexity
Editors and Affiliations
-
Department of Computer Engineering, Chung-Ang University, Seoul, Korea (Republic of)
Jason J. Jung
-
Chosun Unversity , Gwangju, Korea (Republic of)
Pankoo Kim
Bibliographic Information
Book Title: Big Data Technologies and Applications
Book Subtitle: 7th International Conference, BDTA 2016, Seoul, South Korea, November 17–18, 2016, Proceedings
Editors: Jason J. Jung, Pankoo Kim
Series Title: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
DOI: https://doi.org/10.1007/978-3-319-58967-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017
Softcover ISBN: 978-3-319-58966-4Published: 07 June 2017
eBook ISBN: 978-3-319-58967-1Published: 05 June 2017
Series ISSN: 1867-8211
Series E-ISSN: 1867-822X
Edition Number: 1
Number of Pages: X, 155
Number of Illustrations: 63 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Artificial Intelligence, Algorithm Analysis and Problem Complexity, Computer Communication Networks