Workshop Proposal on Applications and Technologies in Big Data (ATBD 2018)
to be held in conjunction with
The 2nd EAI International Conference on Smart Grid Assisted Internet of Things (SGIoT)
When: 11-13 July 2018
- Where: Niagara Falls, Ontario, Canada
- Submission Deadline: April 15, 2018
- Notification Due: May 10, 2018
- Final Version Due: May 20, 2018
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:
Big Data Models and Algorithms
Foundational Models for Big Data
Algorithms and Programming Techniques for Big Data Processing
Big Data Analytics and Metrics
Big Data Architectures
Cloud Computing Techniques for Big Data
Big Data as a Service
Big Data Open Platforms
Big Data Management
Big Data Persistence and Preservation
Big Data Quality and Provenance Control
Big Data Storage and Retrieval
Big Data Security and Privacy
Big Data System Security and Integrity
Big Data Information Security
Privacy Preserving Big Data Analytics
Usable Security and Privacy for Big Data
Quality of Big Data Services
Big Data Service Performance Evaluation
Big Data Service Reliability and Availability
Real-Time Big Data Services
Big Data Search, Mining, and Visualization
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Machine learning based on Big Data
Visualization Analytics for Big Data
Big Data Applications
Big Data for Enterprise, Government, and Society
Case Studies of Big Data Value Creation
Big Data for Science and Engineering Research
Highlights and 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.
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.
Previously published work may not be submitted, nor may the work be concurrently submitted to any other conference or journal. Such papers will be rejected without review.
The paper submissions must follow the SPRINGER formatting guidelines (see Author’s kit section).
Read the Publication Ethics and Malpractice Statement.
Papers must be formatted using the SPRINGER Author’s Kit. Detailed instructions and templates are available.
Dr. Mohiuddin Ahmed, Canberra Institute of Technology, Australia.
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