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Scalable parallel algorithms for surface fitting and data mining

Christen, Peter; Hegland, Markus; Nielsen, Ole; Roberts, Stephen; Strazdins, Peter; Altas, I

Description

This paper presents scalable parallel algorithms for high-dimensional surface fitting and predictive modelling which are used in data mining applications. These algorithms are based on techniques like finite elements, thin plate splines, wavelets and additive models. They all consist of two steps: First, data is read from secondary storage and a linear system is assembled. Secondly, the linear system is solved. The assembly can be done with almost no communication and the size of the linear...[Show more]

CollectionsANU Research Publications
Date published: 2001
Type: Journal article
URI: http://hdl.handle.net/1885/93369
Source: Parallel Computing
DOI: 10.1016/S0167-8191(01)00076-X

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