We study the notion of regret ratio proposed in [19] to deal with multi-criteria decision making in database systems. The regret minimization query proposed in [19] was shown to h...
Danupon Nanongkai, Ashwin Lall, Atish Das Sarma, K...
Cloud computing has emerged as a promising environment capable of providing flexibility, scalability, elasticity, failover mechanisms, high availability, and other important feat...
The rise of smartphones equipped with various sensors has enabled personalization of various applications based on user contexts extracted from sensor readings. At the same time i...
When working on a new project, researchers need to devote a significant amount of time and effort to surveying the relevant literature. This is required in order to gain experti...
Query substitution is an important problem in information retrieval. Much work focuses on how to find substitutes for any given query. In this paper, we study how to efficiently ...
Linked Data (LD) provides principles for publishing data that underpin the development of an emerging web of data. LD follows the web in providing low barriers to entry: publisher...
Norman W. Paton, Klitos Christodoulou, Alvaro A. A...
We consider the problem of finding related tables in a large corpus of heterogenous tables. Detecting related tables provides users a powerful tool for enhancing their tables wit...
Anish Das Sarma, Lujun Fang, Nitin Gupta 0003, Alo...
Most of the existing reachability indices perform well on small- to medium- size graphs, but reach a scalability bottleneck around one million vertices/edges. As graphs become inc...
How-To queries answer fundamental data analysis questions of the form: “How should the input change in order to achieve the desired output”. As a Reverse Data Management probl...