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Induction Tree methods to classify M. tuberculosis spoligotypes
Valetudie, G.;
Computational Intelligence and Data Mining, 2007. CIDM 2007. IEEE Symposium on
March 1 2007-April 5 2007
Page(s):101
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106
Abstract:
In this paper we compared and analyzed four graph induction methods to automatically classify spoligotypes. A spoligotype is a sequence of 43 binary values provided by a DNA analysis technique. This method is known to be useful and efficient to many supervised learning problems. We found it interesting to use these techniques especially for sequential data, in order to create a classifier based on one decision rule per class
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