posted by user: ahmedzoha || 1132 views || tracked by 3 users: [display]

BDSTA 2016 : IEEE Workshop on Big Data Sciences, Technologies and Applications (INFOCOM 2016)

FacebookTwitterLinkedInGoogle

Link: http://www.ieee-bdsta.org/infocom2016
 
When Apr 10, 2016 - Apr 15, 2016
Where San Francisco, CA, USA
Submission Deadline TBD
Categories    big data   data mining   cloud computing   networking
 

Call For Papers

The First IEEE International Workshop on Big Data Sciences, Technologies, and Applications
organized in conjunction with the
IEEE International Conference on Computer Communications (INFOCOM 2016)

10-15 April 2016, San Francisco, CA, USA
http://www.ieee-bdsta.org/infocom2016


[Paper submission link]
http://www.edas.info/newPaper.php?c=21735


[Important Dates on US Time EDT]
- Paper submission deadline: December 20, 2015
- Paper Acceptance Notification: February 15, 2016
- Camera-Ready Papers: March 1, 2016


[Scope & Topics]
A recent new trend in the ICT sector is the extensive requirements and applications of Big Data and relevant technologies. To catch up with this tendency, this Workshop is to provide a general platform for relevant communities of Big Data processing, analysis, analytics, integration, retrieval and networking, to interact and exchange technical ideas, to identify relevant challenges.

With this context, the Workshop aims at bringing together scientists, engineers, standardization professionals, policy makers, researchers, practitioners, and students to present their latest research results, visions, ideas, and developments in Big Data. Researchers and professionals are encouraged to submit original research and standardization relevant contributions that cover a variety of topics including, but not limited to:

- Big data theories, models, algorithms, solutions
- Big data infrastructure and platform
- Big data networking
- Big data management and operations
- Big data mining
- Big data with cloud computing
- Big data applications and services
- Big data with Internet of Things
- Big data standardizations
- Green issues for and by big data


=================================
[Organizing Committee]
=================================
General Chairs:
Periklis Chatzimisios, Alexander TEI of Thessaloniki, Greece
Chonggang Wang, InterDigital Communications, USA
Jie Li, University of Tsukuba, Japan

------------------------------------
Technical Program Chairs:
Song Guo, University of Aizu, Japan
Constandinos Mavromoustakis, University of Nicosia, Cyprus
Han Hu, Nanyang Technological University, Singapore

------------------------------------
Steering Committee
Jie Li (Chair), University of Tsukuba, Japan
Jinsong Wu, Universidad de Chile, Chile
Periklis Chatzimisios, Alexander TEI of Thessaloniki, Greece
Song Guo, University of Aizu, Japan

-------------------------------------
Keynotes Chair:
Kun Yang, University of Essex, UK

------------------------------------
Publicity Chairs:
Vasilis Katos, Bournemouth University, UK
William Liu, Auckland University of Technology, New Zealand
Kun Wang, Nanjing University of Posts and Telecommunications, Nanjing, China
Ahmed Zoha, Qatar Mobility Innovations Center, Qatar
----------------
Dr. William Liu
School of Engineering, Computer and Mathematical Sciences
Auckland University of Technology (AUT)
Auckland, New Zealand
+64 9 921 9999 Ext. 5210
Email: william.liu@aut.ac.nz(mailto:william.liu@aut.ac.nz)

Related Resources

ADAH 2017   Advanced Data Analytics in Health
ICDM 2017   IEEE International Conference on Data Mining 2017
ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
WACV 2017   IEEE Winter Conference on Applications of Computer Vision
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
CEWIT 2017   13th International Conference & Expo on Emerging Technologies for a Smarter World
ACML 2017   The 9th Asian Conference on Machine Learning
COMPLEX NETWORKS 2017   6th International Conference on Complex Networks and Their Applications
ICCBDC - ACM 2017   International Conference on Cloud and Big Data Computing (ICCBDC 2017)--Ei Compendex and Scopus
ICMLA 2017   16th IEEE International Conference On Machine Learning And Applications