| Description |
vii, 53 leaves : illustrations ; 28 cm. |
| Summary |
"Undiscovered relationships in a data set may confound analyses, particularly those that assume data independence. Such problems occur when characters used for phylogenetic analyses are not independent of one another. Although a data mining technique known as rule induction from coverings has earlier been shown to be a promising approach for identifying such non-independence, its inherent computational complexity has limited its application for even small phylogenetic data sets. Herein we test the hypothesis that parallelizing the rule induction from coverings strategy as well as applying heuristics to some facets of the algorithm will overcome these limitations of scalability and efficiency"--Abstract, leaf iii. |
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