Data Mining Algorithms for Classification
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2008-02-19
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en
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Abstract
Data Mining is a technique used in various domains to give mean-
ing to the available data. In classification tree modeling the data is
classified to make predictions about new data. Using old data to pre-
dict new data has the danger of being too fitted on the old data. But
that problem can be solved by pruning methods which degeneralizes
the modeled tree. This paper describes the use of classification trees
and shows two methods of pruning them. An experiment has been
set up using different kinds of classification tree algorithms with dif-
ferent pruning methods to test the performance of the algorithms and
pruning methods. This paper also analyzes data set properties to find
relations between them and the classification algorithms and pruning
methods.
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Faculteit der Sociale Wetenschappen