Abstract. Data mining algorithms such as the Apriori method for finding frequent sets in sparse binary data can be used for efficient computation of a large number of summaries fr...
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
Architectural considerations play a key role in the success of any software-based development project. Architecture evaluation is an early risk reduction method for identifying ri...
This paper defines a new layered architecture for supporting optical burst switching in an optical core network. The architecture takes into account both the control plane as well...
Farid Farahmand, Jason P. Jue, Vinod Vokkarane, Jo...
Abstract— We describe a grid-based approach for enterprisescale data mining that leverages database technology for I/O parallelism, and on-demand compute servers for compute para...