Large-scale cluster-based Internet services often host partitioned datasets to provide incremental scalability. The aggregation of results produced from multiple partitions is a f...
We present a novel, generic framework and algorithm for hierarchical collision detection, which allows an application to balance speed and quality of the collision detection. We p...
In this paper, we present a performance evaluation of a wide-area cluster system based on a rewallenabled Globus metacomputing toolkit. In order to establish communication links ...
Fractional cascading is a technique designed to allow e cient sequential search in a graph with catalogs of total size n. The search consists of locating a key in the catalogs alo...
—When performing predictive data mining, the use of ensembles is known to increase prediction accuracy, compared to single models. To obtain this higher accuracy, ensembles shoul...