Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP180103096
Funding Status
Closed
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Funded Activity Summary
Efficient processing of large scale multi-dimensional graphs. This project aims to develop novel approaches to process large scale multi-dimensional graphs. The project will focus on the three most representative types of problems against multi-dimensional graphs, namely cohesive subgraph computation, frequent subgraph mining, and subgraph matching. The project outcome will include a set of new theories, novel indexing and data processing techniques, including distributed and single node computation. The success of the project will significantly contribute to the technology development and the scientific foundation of big graph processing.Funded Activity Details
Start Date: 2018
End Date: 12-2020
Funding Scheme: Discovery Projects
Funding Amount: $407,947.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Information Systems | Pattern Recognition and Data Mining | Database Management
ANZSRC Socio-Economic Objective (SEO)
Environmental Lifecycle Assessment | Road Public Transport | Expanding Knowledge in the Information and Computing Sciences |
