XClust: clustering XML schemas for effective integration
Proceedings of the eleventh international conference on Information and knowledge management
Evaluation of hierarchical clustering algorithms for document datasets
Proceedings of the eleventh international conference on Information and knowledge management
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
Preparations for Semantics-Based XML Mining
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Information Systems - Special issue on web data integration
Process of applying data mining techniques to XML data
Proceedings of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006
XCLS: a fast and effective clustering algorithm for heterogenous XML documents
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
XML documents clustering by structures
INEX'05 Proceedings of the 4th international conference on Initiative for the Evaluation of XML Retrieval
Clustering XML documents by structure
ADBIS'09 Proceedings of the 13th East European conference on Advances in Databases and Information Systems
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XML has become a standard for information exchange and retrieval on the Web. This paper presents the XMine methodology to group heterogeneous XML documents into separate meaningful classes by considering the linguistic and the hierarchical structure similarity. The empirical results demonstrate that the semantic and syntactic relationships and the path names context of elements play important role for producing good quality of clusters.