Relevance feedback and other query modification techniques
Information retrieval
On automated query modification techniques for databases
On automated query modification techniques for databases
ACM Computing Surveys (CSUR)
Implementation of integrity constraints and views by query modification
SIGMOD '75 Proceedings of the 1975 ACM SIGMOD international conference on Management of data
Generalization and a Framework for Query Modification
Proceedings of the Sixth International Conference on Data Engineering
BNCOD 10 Proceedings of the 10th British National Conference on Databases: Advanced Database Systems
Access control in a relational data base management system by query modification
ACM '74 Proceedings of the 1974 annual conference - Volume 1
An Introduction to Database Systems
An Introduction to Database Systems
A relational approach to the capture of DICOM files for Grid-enabled medical imaging databases
Proceedings of the 2004 ACM symposium on Applied computing
Securing web services for deployment in health grids
Future Generation Computer Systems - Parallel input/output management techniques (PIOMT) in cluster and grid computing
On tracker attacks in health grids
Proceedings of the 2006 ACM symposium on Applied computing
Securing web services for deployment in health grids
Future Generation Computer Systems - Parallel input/output management techniques (PIOMT) in cluster and grid computing
A systematic literature review of inference strategies
International Journal of Information and Computer Security
On deducibility and anonymisation in medical databases
SDM'05 Proceedings of the Second VDLB international conference on Secure Data Management
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It is well understood that a conflict between functionality and confidentiality exists within the context of medical research databases: while patients' rights must be preserved, restricting access to data can reduce the value of the data that is available to the researcher. As such, limiting access so that confidentiality is preserved without reducing functionality more than is necessary should be a key aim of every designer of medical research databases. In this paper we investigate the application of query modification for the protection of sensitive patient data with a view to preserving functionality as much as possible. The work has been conducted within the context of the e-DiaMoND research project.