%0 Journal Article
	%A R. AliMohammadzadeh and  M. Rahgozar and  A. Zarnani
	%D 2008
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 21, 2008
	%T A New Model for Discovering XML Association Rules from XML Documents
	%U https://publications.waset.org/pdf/10492
	%V 21
	%X The inherent flexibilities of XML in both structure
and semantics makes mining from XML data a complex task with
more challenges compared to traditional association rule mining in
relational databases. In this paper, we propose a new model for the
effective extraction of generalized association rules form a XML
document collection. We directly use frequent subtree mining
techniques in the discovery process and do not ignore the tree
structure of data in the final rules. The frequent subtrees based on the
user provided support are split to complement subtrees to form the
rules. We explain our model within multi-steps from data preparation
to rule generation.
	%P 3228 - 3232