@article{(Open Science Index):https://publications.waset.org/pdf/10492, title = {A New Model for Discovering XML Association Rules from XML Documents}, author = {R. AliMohammadzadeh and M. Rahgozar and A. Zarnani}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Computer and Information Engineering}, volume = {2}, number = {9}, year = {2008}, pages = {3228 - 3232}, ee = {https://publications.waset.org/pdf/10492}, url = {https://publications.waset.org/vol/21}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 21, 2008}, }