The conference paper acceptance rate is 8.5%.
2013 IEEE/ASE International Conference on Big Data aims to bring together academic scientists, researchers and scholars to exchange and share their experiences
and research results in Advancing Big Data Science & Engineering (BIGDATA). The phrase "big data" in this solicitation refers to large,
diverse, complex, longitudinal, and/or distributed data sets generated from instruments, sensors, Internet transactions, email, video,
click streams, and/or all other digital sources available today and in the future.
The current focus is to advance the core scientific and technological means of managing, analyzing, visualizing, and extracting useful
information from large, diverse, distributed and heterogeneous data sets so as to: accelerate the progress of scientific discovery and
innovation; lead to new fields of inquiry that would not otherwise be possible; encourage the development of new data analytic tools and
algorithms; facilitate scalable, accessible, and sustainable data infrastructure; increase understanding of human and social processes
and interactions; and promote economic growth and improved health and quality of life. The new knowledge, tools, practices, and
infrastructures produced will enable breakthrough discoveries and innovation in science, engineering, medicine, commerce, education,
and national security.
A long-term strategy to address various big data challenges, which include advances in core techniques and technologies; big data
infrastructure projects in various science, biomedical research, health and engineering communities; education and workforce development;
and a comprehensive integrative program to support collaborations of multi-disciplinary teams and communities to make advances in the
complex grand challenge science, biomedical research, and engineering problems of a computational- and data-intensive world.
Prepare your manuscripts with the following conference paper styles not more than 10 pages in PDF file.
(http://www.acm.org/sigs/publications/proceedings-templates). Submit your paper(s) at the BigData 2013 submission site:
http://www.asesite.org/conferences/BigData/2013/paper_submission.html Each submission should be regarded as an undertaking that, should
the paper be accepted, at least one of the authors must attend the conference to present the work in order for the paper to be included in
the Digital Library.
Top 3.9% accepted papers will be published in the ASE Science Journal. The rest of accepted papers will be included in the ACM Digital Library.
||April 15, 2013
|Notification of Workshop Acceptance:
||May 1, 2013
|Paper Submission Deadline:
||June 1, 2013
|Notification of Acceptance:
||July 15, 2013
|Final Manuscript Due:
||August 15, 2013
||September 8-14, 2013
|Note: All days end Midnight Eastern Standard Time.