Remote sensing applications often concern very large volumes of spatio-temporal data, the emerging Grid computing technologies bring an effective solution to this problem. The Open...
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Scientific applications require sophisticated data management capabilities. We present the design and implementation of a Data Replication Service (DRS), one of a planned set of h...
Ann L. Chervenak, Robert Schuler, Carl Kesselman, ...
The Southern California Earthquake Center digital library publishes scientific data generated by seismic wave propagation simulations. The output from a single simulation may be as...