Overview
The
focus of the GRADES-NDA workshop is the application areas, usage
scenarios and open challenges in managing large-scale graph-shaped data.
The workshop is a forum for exchanging ideas and methods for mining,
querying and learning with real-world network data, developing new
common understandings of the problems at hand, sharing of data sets and
benchmarks where applicable, and leveraging existing knowledge from
different disciplines. Additionally, considering specific techniques
(e.g., algorithms, data/index structures) in the context of the systems
that implement them, rather than describing them in isolation,
GRADES-NDA aims to present technical contributions inside graph, RDF and
other data management systems on graphs of a large size (many millions
of nodes and beyond).
The goal of GRADES-NDA is to bring
together researchers from academia, industry, and government, (1) to
create a forum for discussing recent advances in (large-scale) graph
data management and analytics systems, as well as propose and discuss
novel methods and techniques towards (2) addressing domain specific
challenges or (3) handling noise in real-world graphs.
The
workshop will be of interest to researchers in the development of novel
data-management applications and systems for large-scale graph
analytics. More specifically, the intended audience are, but not limited
to, academic and industrial computer scientists interested in databases
and data mining, machine learning, data streaming, graph theory and
algorithms. Along with novel research work, we encourage submissions with demonstrations
and case studies from real-life experiences in various domains such as Social
Networks, Biological Network Data, Marketing and Media, Business Data Analysis, Healthcare Data,
Cybersecurity etc. |
Important Dates- Abstract Submission : March 11, 2019
- Paper Submission : March 18, 2019
- Notifications : April 15, 2019
- Camera Ready Submission : May 6, 2019
- Workshop Date : June 30, 2019
- All deadlines are 23:59 Hours AoE
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