BIGCOMP 2019

BIGCOMP 2019
6th IEEE International Conference on Big Data and Smart Computing
Event in series	BIGCOMP
Dates	2019/02/27 (iCal) - 2019/03/17
Homepage:	http://www.bigcomputing.org/conf2019/
Location
Location:	Kyoto, Japan
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Committees
General chairs:	Masatoshi Yoshikawa, Jongwon Choe
PC chairs:	Hiroyuki Kitagawa, Walid Saad, Kyuseok Shim, Jie Tang
Seminars Chair:	Guozhu Dong, Ee-Peng Lim, Alexander Löser
Keynote speaker:	Zachary Ives, Raymond Ng
Table of Contents

Big data and smart computing are emerging research fields that have recently drawn much attention from computer science and information technology as well as from social sciences and other disciplines.

The goal of the International Conference on Big Data and Smart Computing (BigComp), initiated by KIISE (Korean Institute of Information Scientists and Engineers), is to provide an international forum for exchanging ideas and information on current studies, challenges, research results, system developments, and practical experiences in these emerging fields.

Following the successes of the previous BigComp conferences in Bangkok, Thailand (2014), Jeju, Korea (2015), Hong Kong, China (2016), Jeju, Korea (2017), and Shanghai, China (2018), the 2019 International Conference on Big Data and Smart Computing (BigComp 2019) will be held in Kyoto University, Kyoto, Japan.

The conference is co-sponsored by IEEE and KIISE. BigComp 2019 invites authors to submit original research papers and original work-in-progress reports on big data and smart computing.

Topics

The topics of interest for IEEE BigComp 2019 include (but are not limited to) the following:

* Techniques, models and algorithms for big data
* Machine learning and AI for big data
* Web search and information retrieval
* Models and tools for smart computing
* Cloud and grid computing for big data
* Security and privacy for big data
* Smart devices and hardware
* Big data applications: Bioinformatics,
* Multimedia, Smartphones, etc.
* Tools and systems for big data
* Data mining, graph mining and data science
* Infrastructure and platform for smart computing
* Big data analytics and social media
* Hardware/software infrastructure for big data
* Mobile communications and networks
* Smart location-based services