We introduce transformations from time series data to the domain of complex networks which allow us to characterise the dynamics underlying the time series in terms of topological ...
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
—A key benefit of utility data centers and cloud computing infrastructures is the level of consolidation they can offer to arbitrary guest applications, and the substantial savi...
Mukil Kesavan, Adit Ranadive, Ada Gavrilovska, Kar...
Random sampling is a popular technique for providing fast approximate query answers, especially in data warehouse environments. Compared to other types of synopses, random sampling...
— Databases associated with keywords, can be public, private or hybrid, as a result the solutions to keyword search protocols for each type are different. In this paper, we study...