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This paper presents a principled framework for efficient processing of ad-hoc top-k (ranking) aggregate queries, which provide the k groups with the highest aggregates as results....
Chengkai Li, Kevin Chen-Chuan Chang, Ihab F. Ilyas
This demo presents a privacy-preserving aggregate location monitoring system, namely, TinyCasper, in which we can monitor moving objects in wireless sensor networks while preservi...
We consider the problem of using sampling to estimate the result of an aggregation operation over a subset-based SQL query, where a subquery is correlated to an outer query by a NO...