Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP180103563
Funding Status
Closed
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Funded Activity Summary
Increasing data quality with group associations in outsourcing environments. Outsourcing of data storage is increasingly common, but poses major problems for data utility and confidentiality. This project aims to discover how tuples (data structures) in fragments can be grouped to increase the utility of queries executed over fragments. The project will create a framework that satisfies information protection goals while achieving utility for queries. The developed algorithms and techniques will formally specify and develop a model to validate loose association rules while minimising data leakage risks. The outcomes will benefit Australians through enabling sharing and linking increasingly large datasets securely and cheaply.Funded Activity Details
Start Date: 07-2018
End Date: 12-2021
Funding Scheme: Discovery Projects
Funding Amount: $377,725.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Pattern Recognition and Data Mining | Decision Support and Group Support Systems | Artificial Intelligence and Image Processing
