A parallel decision tree builder for mining very large visualization datasets
Simulation problems in the DOE ASCI program generate visualization datasets more than a
terabyte in size. The practical difficulties in visualizing such datasets motivate the desire for
automatic recognition of salient events. We have developed a parallel decision tree
classifier for use in this context. Comparisons to ScalParC, a previous attempt to build a fast
parallelization of a decision tree classifier, are provided. Our parallel classifier executes on
the" ASCI Red" supercomputer. Experiments demonstrate that datasets too large to be …
terabyte in size. The practical difficulties in visualizing such datasets motivate the desire for
automatic recognition of salient events. We have developed a parallel decision tree
classifier for use in this context. Comparisons to ScalParC, a previous attempt to build a fast
parallelization of a decision tree classifier, are provided. Our parallel classifier executes on
the" ASCI Red" supercomputer. Experiments demonstrate that datasets too large to be …
[PDF][PDF] A Parallel Decision Tree Builder for Mining Very Large Visualization Datasets
WP Kegelmeyer - nd.edu
Simulation problems in the DOE ASCI program generate visualization datasets more than a
terabyte in size. The practical difficulties in visualizing such datasets motivate the desire for
automati? recognition of salient events. We have developed a parallel decision tree
classifier for use in this context. Comparisons to ScalParC, a previous attempt to build a fast
parallelization of a decision tree classifier, are provided. Our parallel classifier executes on
the “ASCI Red” supercomputer. Experiments demonstrate that datasets too large to be …
terabyte in size. The practical difficulties in visualizing such datasets motivate the desire for
automati? recognition of salient events. We have developed a parallel decision tree
classifier for use in this context. Comparisons to ScalParC, a previous attempt to build a fast
parallelization of a decision tree classifier, are provided. Our parallel classifier executes on
the “ASCI Red” supercomputer. Experiments demonstrate that datasets too large to be …
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