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
Very large scale computations are now becoming routinely used as a methodology to undertake scientific research. In this context, ‘provenance systems’ are regarded as the equ...
Paul T. Groth, Simon Miles, Weijian Fang, Sylvia C...
Abstract. A top-k OLAP query groups measures with respect to some abstraction level of interesting dimensions and selects the k groups with the highest aggregate value. An example ...
Clustering and data aggregation in wireless sensor networks improves scalability, and helps the efficient use of scarce resources. Yet, these mechanisms also introduce some securi...
Computing aggregates over distributed data sets constitutes an interesting class of distributed queries. Recent advances in peer-to-peer discovery of data sources and query process...