[Infovis] CFP: IEEE VIS: LDAV 2015: IEEE Symposium on Large Data Analysis and Visualization

Jian Chen jichen at umbc.edu
Tue Jun 2 15:15:07 CEST 2015


LDAV 2015
The 5th IEEE Symposium on Large Data Analysis and Visualization,
co-located with IEEE VIS 2015, October 25-26, 2015 , Chicago, Illinois, USA

http://www.ldav.org/

Contact: papers at ldav.org

Modern large-scale scientific simulations, sensor networks, and experiments
are generating enormous datasets, with some projects approaching the
multiple exabyte range in the near term. Managing and analyzing large data
in order to transform it into insight is critical for a variety of
disciplines including climate science, nuclear physics, security, materials
design, transportation, and urban planning. This is currently referred to
as the Big Data Challenge. The tools and approaches needed to mine,
analyze, and visualize data at extreme scales can be fully realized only if
we have end-to-end solutions, which demands collective, interdisciplinary
efforts.

The 5th IEEE Large Scale Data Analysis and Visualization (LDAV) symposium,
to be held in conjunction with IEEE VIS 2015, is specifically targeting
possible end-to-end solutions. The LDAV symposium will bring together
domain scientists, data analysts, visualization researchers, users,
designers and artists, to foster common ground for solving both near- and
long-term problems.

*Scope*:
We are looking for original research contributions on a broad-range of
topics related to collection, analysis, manipulation or visualization of
large-scale data. We also welcome position papers on these topics.
Topics of interest include, but are not limited to:

• Data collection, management and curation
• Innovative approaches combining information visualization, visual
analytics, and scientific visualization
• Streaming methods for analysis, collection and visualization
• Novel, extreme or innovative methods for understanding and interacting
with data
• Advanced hardware for data handling or visualization
• Distributed, parallel or multi-threaded approaches
• MapReduce-based and database-related methods, algorithms or approaches
• Hierarchical data storage, retrieval or rendering
• Collaboration or co-design of data analysis with domain scientists
• Topics in cognitive issues specific to manipulating and understanding
large data
• Application case studies
• Industry solutions for big data
• End-to-end system solutions

*Submission Instructions:*
Submitted manuscripts may not exceed 8 pages. The manuscripts can be 4-8
pages, with the authors determining length based on the content. The
manuscripts should be formatted according to guidelines from IEEE VGTC.
Submission site note: Go to the submission site (
https://precisionconference. com/~vgtc
<https://precisionconference.com/~vgtc>), log in, go to 'new submissions',
and select 'LDAV 2015 Papers'.

*Proceedings:*
The proceedings of the symposium will be published together with the VIS
proceedings and via the IEEE Xplore Digital Library.

*Best Paper:*
The LDAV Program Committee will present a Best Paper award to the authors
whose submission is deemed the strongest according to the reviewing
criteria. This award will be announced in conjunction with VIS 2015.

Important Dates: (Please note the abstract and paper deadlines are firm and
no extensions will be granted).
Abstract Deadline (firm): June 17, 2015
Paper Submission (firm):  June 24, 2015  11:59 PM (AOE)
Author Notification: August 13, 2015
Camera-Ready Deadline:  August 21, 2015

Best regards,
- Jian (on behalf of publicity chairs)
-------------------------------------------------------------
Jian Chen, PhD, Assistant Prof.
CSEE, University of Maryland Baltimore County
http://www.csee.umbc.edu/~jichen


More information about the Infovis mailing list