Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP140101969
Funding Status
Closed
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Funded Activity Summary
Multi source inference from heterogeneous dynamic networks. Sophisticated big data applications in engineering, the social sciences and biology are now generating flows of data across multiple sources possessing a variety of structures. An emerging challenge is how to develop data mining methods that can cope with this complexity and diversity to make inferences and provide practical insights. This project will develop methods in tensor data mining that provide a new foundation for extracting useful knowledge from multi source heterogeneous data sets. This will help accelerate discoveries in the next generation of data driven science.Funded Activity Details
Start Date: 07-2014
End Date: 04-2018
Funding Scheme: Discovery Projects
Funding Amount: $660,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Information Systems | Database Management |
ANZSRC Socio-Economic Objective (SEO)
Information Processing Services (incl. Data Entry and Capture)
