posted by system || 1955 views || tracked by 4 users: [display]

BDSAV 2013 : The 1st International Workshop on Big Data Storage, Analytics, and Visualization

FacebookTwitterLinkedInGoogle

Link: http://www.people.vcu.edu/~xhe2/BDSAV.html
 
When Sep 8, 2013 - Sep 8, 2013
Where Washington D.C., United States
Submission Deadline Jun 28, 2013
Categories    databases
 

Call For Papers

The 1st International Workshop on Big Data Storage, Analytics, and Visualization (BDSAV-2013)

Washington D.C., USA, September 8, 2013

(to be held with 2013 ASE/IEEE International Conference on Big Data, http://www.asesite.org/conferences/bigdata/2013/)

Explosive growth in data volume and complexity imposes unprecedented challenges for researchers who investigate new storage and computational solutions to support fast and reliable access to large datasets and transform them into insights. The capability of managing and mining large data sets is critical for domain scientists in various disciplines to gain vital scientific importance for knowledge discovery. Achieving the needed capability will require collaborative and interdisciplinary efforts to realize new holistic solutions to access, analyze, and visualize data at large scales. This workshop aims to bring computer science researchers and domain scientists together to share their vision and ideas to address big data challenges, with a focus on efficient big data storage, data analytics, and visualization.

The topics of interest of this workshop include but are not limited to:

. Efficient large-scale data storage technologies
. Metadata management for large data centers
. Data reliability
. Data analytics and text mining
. Large data visualization
. Advanced storage methods for data analytics and/or visualization
. Approaches using distributed, parallel, or multi-threaded architectures
. In-situ simulation and visualization
. In-memory data processing for real-time data analytics
. Application- and semantic-aware data filtering
. Data reduction and analytics
. Application case studies using big data

Paper Submission

All papers (in PDF format) should be submitted electronically using the online submission system. The submission is limited to 8 single-spaced double column pages using 10-point size font on 8.5x11 inch pages. All papers submitted to this workshop will be peer-reviewed and accepted on the basis of their scientific merit and relevance to the workshop topics.

Organizing Committees

General chair:
Hong Jiang, NSF CISE-CCF program director/University of Nebraska-Lincoln

Program co-chairs:

Xubin He, Virginia Commonwealth University
Hongfeng Yu, University of Nebraska-Lincoln

Publicity Chair:
Lei Tian, University of Nebraska-Lincoln

Proceedings Chair:
Ping Huang, Virginia Commonwealth University



Important dates:

Paper Submission Deadline: June 28, 2013
Notification of acceptance: August 1, 2013
Camera-ready: August 15, 2013
Workshop date: September 8, 2013

Related Resources

ICCCBDA 2023   IEEE--2023 the 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA 2023)
IJHAS 2022   International Journal of Humanities, Art and Social Studies
IEEE ICCCBDA 2023   IEEE--2023 the 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA 2023)
DSA 2022   3rd International Conference on Data Science and Applications
SoCAV 2023   2023 International Symposium on Connected and Autonomous Vehicles (SoCAV 2023)
IJBB 2022   International Journal on Bioinformatics & Biosciences
ICBDB 2022   2022 4th International Conference on Big Data and Blockchain(ICBDB 2022)
IJSCMC 2022   International Journal of Soft Computing, Mathematics and Control
IEEE SSCI 2023   2023 IEEE Symposium Series on Computational Intelligence
CNSA 2023   16th International Conference on Network Security & Applications