Increasing data quality with group associations in outsourcing environments

数据存储外包越来越普遍，但也给数据的实用性和保密性带来了重大问题。该项目旨在发现如何对片段中的元组(数据结构)进行分组，以提高在片段上执行的查询的实用性。该项目将创建一个框架，在实现查询实用的同时满足信息保护目标。开发的算法和技术将正式指定和开发一个模型，以验证松散的关联规则，同时将数据泄露风险降至最低。其结果将使澳大利亚人能够安全、廉价地共享和链接越来越大的数据集，从而使澳大利亚人受益。

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.