Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
This paper presents the design of Mercury, a scalable protocol for supporting multi-attribute rangebased searches. Mercury differs from previous range-based query systems in that...
Ashwin R. Bharambe, Mukesh Agrawal, Srinivasan Ses...
Modern applications requiring spatial network processing pose many interesting query optimization challenges. In many cases, query processing depends on the corresponding graph si...
Eleftherios Tiakas, Apostolos N. Papadopoulos, Ale...
Searching and mining large graphs today is critical to a variety of application domains, ranging from personalized recommendation in social networks, to searches for functional ass...
Background: BLAST is a widely used genetic research tool for analysis of similarity between nucleotide and protein sequences. This paper presents a software application entitled &...