Access to relative location of nearby vehicles on the local roads or on the freeways is useful for providing critical alerts to the drivers, thereby enhancing their driving experi...
Indoor localization is of great importance for a range of pervasive applications, attracting many research efforts in the past decades. Most radio-based solutions require a proce...
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 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...
Big data is the tar sands of the data world: vast reserves of raw gritty data whose valuable information content can only be extracted at great cost. MapReduce is a popular parall...