Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP200101116
Funding Status
Closed
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Funded Activity Summary
Cohesive Subgraph Discovery on Big Bipartite Graphs. This project aims to develop novel technology for efficient and scalable cohesive subgraph discovery on big bipartite graphs, including new theories, indexing techniques, and data processing algorithms. We anticipate addressing key challenges and laying scientific foundations of big graph computation, as well as delivering high-impact technologies. The success of the project will directly benefit the key applications in Australia such as cyber-security, health, bio-informatics, social networks, and E-commerce. The success of the project will also facilitate the training of PhD graduates and postdoctoral research associates in the area of Big Data.Funded Activity Details
Start Date: 2020
End Date: 12-2022
Funding Scheme: Discovery Projects
Funding Amount: $430,000.00
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)
Social Structure and Health | Road Public Transport | Expanding Knowledge in the Information and Computing Sciences |
