We study generalization for preserving privacy in publication of sensitive data. The existing methods focus on a universal approach that exerts the same amount of preservation for...
A number of organizations publish microdata for purposes such as public health and demographic research. Although attributes that clearly identify individuals, such as Name and So...
Kristen LeFevre, David J. DeWitt, Raghu Ramakrishn...
We consider the problem of approximating sliding window joins over data streams in a data stream processing system with limited resources. In our model, we deal with resource cons...
We consider the problem of mapping data in peer-topeer data-sharing systems. Such systems often rely on the use of mapping tables listing pairs of corresponding values to search f...
Materialized views can provide massive improvements in query processing time, especially for aggregation queries over large tables. To realize this potential, the query optimizer ...