We present techniques for privacy-preserving computation of multidimensional aggregates on data partitioned across multiple clients. Data from different clients is perturbed (rand...
Rakesh Agrawal, Ramakrishnan Srikant, Dilys Thomas
Several randomized techniques have been proposed for privacy preserving data mining of continuous data. These approaches generally attempt to hide the sensitive data by randomly m...
The need for semantics preserving integration of complex data has been widely recognized in the healthcare domain. While standards such as Health Level Seven (HL7) have been develo...
Antoine Zimmermann, Ratnesh Sahay, Ronan Fox, Axel...
Economies of scale, corporate partnerships and a need to increase the efficiency of Information Technology in the Healthcare sector are leading to the construction of Regional Hea...
Tyrone Grandison, Srivatsava Ranjit Ganta, Uri Bra...