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ATBD 2018 : Applications and Technologies in Big Data

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Link: http://sgiot.org/call-atbd-workshop/
 
When Jul 11, 2018 - Jul 13, 2018
Where Niagara Falls, Ontario, Canada
Submission Deadline May 1, 2018
Notification Due May 15, 2018
Final Version Due Jun 1, 2018
Categories    big data   machine learning   data science   analytics
 

Call For Papers

The workshop on ATBD 2018 will focus on all aspects on techniques and applications in Big Data research. In the era of big data, we are facing new challenges for gaining meaningful insights from different data sources. Huge amount of data from too many sources indeed make the task of data analytics very cumbersome. Hence, it is imperative to design effective algorithms and develop efficient frameworks for data analytics in any application domain. The purpose of ATBD is to provide a forum for presentation and discussion of innovative ideas, research results, applications and experience from around the world as well as highlight activities in the related areas. Original papers on all aspects of Big Data are solicited for submission to ATBD 2018. Areas of interest include, but are not limited to:
Topics

Original papers on all aspects of Big Data are solicited for submission to ATBD 2018.
Areas of interest include, but are not limited to:

Big Data Models and Algorithms
Big Data Architectures
Big Data Management
Big Data Security and Privacy
Big Data Search, Mining, and Visualization
Big Data Applications

Publication

The event is endorsed by the European Alliance for Innovation, a leading community-based organisation devoted to the advancement of innovation in the field of ICT.
All accepted papers will be published by Springer and made available through SpringerLink Digital Library, one of the world’s largest scientific libraries.
Proceedings are submitted for inclusion to the leading indexing services: Elsevier (EI), Thomson Scientific (ISI), Scopus, Crossref, Google Scholar, DBLP.

Submission Guidelines
Papers should be submitted through the conference website and select ATBD 2018. Papers should be submitted through EAI ‘Confy‘ system at Confy, and have to comply with the SPRINGER format (see Author’s kit section).

Regular papers should be up to 10 pages in length.
Short papers should be up to 4 pages in length.
Poster papers should be minimum 2 pages and maximum 4 pages in length

Papers should be submitted through EAI Confy, and have to comply with the SPRINGER
format (see Author’s kit section). Papers will be judged on originality, correctness,
clarity and relevance. Submitted papers must be original work, and may not be under
consideration for another conference or journal.
Committee:

Workshop Chair:
Dr. Mohiuddin Ahmed, Canberra Institute of Technology, Australia.
Program Committee:
Prof. Jiankun Hu, UNSW, Australia.
Dr. Rafiqul Islam, Charles Sturt University, Australia.
Dr. Zubair Shah, Macquarie University, Australia
Dr. Rasib Khan, Northern Kentucky University, USA
Dr. Adnan Anwar, Flow Power, Australia
Dr. Sabbir Hasan, Orange Labs, France
Mr. Kamal Hossain, Air Asia, Malaysia
Dr. Morshed Chowdhury, Deakin University, Australia
Dr. Zahid Islam, Charles Sturt University, Australia.
Dr. Syed S Islam, Edith Cowan University, Australia.
Dr. Abu Barkat, Canberra Institute of Technology, Australia
Dr. Sanjoy Paul, University Technology Sydney, Australia.
Dr. Hien Nguyen, La Trobe University, Australia
Dr. Tanu Malik, DePaul University, USA
Dr. Zhiyuan Tan, Edinburgh Napier University, UK

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Big Data Era 2018   BEYOND TECHNOLOGY: MANAGEMENT CHALLENGES IN THE BIG DATA ERA
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ICBDE--Ei Compendex and Scopus 2019   2019 2nd International Conference on Big Data and Education (ICBDE 2019)--Ei Compendex and Scopus
IDEAL 2018   19th International Conference on Intelligent Data Engineering and Automated Learning
BIGDataHUMSC 2018   Big Data and the Human and Social Sciences
ACIIDS 2018   10th Asian Conference on Intelligent Information and Database Systems
AutoML 2018   The Second International Workshop on Automation in Machine Learning and Big Data
SICBS 2018   2nd International Conference on Security with Intelligent Computing and Big-data Services