%0 Journal Article
	%A Gökhan Silahtaroğlu
	%D 2009
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 32, 2009
	%T An Attribute-Centre Based Decision Tree Classification Algorithm
	%U https://publications.waset.org/pdf/14986
	%V 32
	%X Decision tree algorithms have very important place at
classification model of data mining. In literature, algorithms use
entropy concept or gini index to form the tree. The shape of the
classes and their closeness to each other some of the factors that
affect the performance of the algorithm. In this paper we introduce a
new decision tree algorithm which employs data (attribute) folding
method and variation of the class variables over the branches to be
created. A comparative performance analysis has been held between
the proposed algorithm and C4.5.
	%P 581 - 585