Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
—Information dissemination in a large network is typically achieved when each user shares its own information or resources with each other user. Consider n users randomly located...
Although compile-time optimizations generally improve program performance, degradations caused by individual techniques are to be expected. One promising research direction to ove...
Abstract—Service replication is an effective way to address resource requirements and resource availability problem. Dynamic service selection enables clients to choose a server ...
The parallel explosions of interest in streaming data, and data mining of time series have had surprisingly little intersection. This is in spite of the fact that time series data...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Bil...