When learning from streaming data, a change in the data distribution, al...
Maximal Clique Enumeration (MCE) is a fundamental graph mining problem, ...
Random sampling has been widely used in approximate query processing on ...
This paper investigates parallel random sampling from a potentially-unen...
We consider message-efficient continuous random sampling from a distribu...
We give an improved algorithm for drawing a random sample from a large d...
We consider the estimation of properties on massive bipartite graph stre...
Quasi-cliques are dense incomplete subgraphs of a graph that generalize ...
We present shared-memory parallel methods for Maximal Clique Enumeration...
Stratified random sampling (SRS) is a fundamental sampling technique tha...
Space filling curves (SFCs) are widely used in the design of indexes for...
Graph motifs are used to analyze networks from diverse domains. We consi...
A current challenge for data management systems is to support the
constr...
We consider the maintenance of maximal bicliques from a dynamic bipartit...