We present Stretch `n' Shrink, a query design framework that explicitly takes into account user preferences about the desired answer size, and subsequently modifies the query...
We consider the problem of rewriting a query efficiently using materialized views. In the context of information integration, this problem has received significant attention in th...
We propose the k-representative regret minimization query (k-regret) as an operation to support multi-criteria decision making. Like top-k, the k-regret query assumes that users h...
Danupon Nanongkai, Atish Das Sarma, Ashwin Lall, R...
In the context of multidimensional databases implemented on relational DBMSs through star schemes, the most effective technique to enhance performances consists of materializing re...
In this paper, we propose managing data summaries in unstructured P2P systems. Our summaries are intelligible views with two main virtues. First, they can be directly queried and u...
Rabab Hayek, Guillaume Raschia, Patrick Valduriez,...