Clustering transactions using large items
Proceedings of the eighth international conference on Information and knowledge management
BitCube: A Three-Dimensional Bitmap Indexing for XML Documents
Journal of Intelligent Information Systems
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth
Proceedings of the 17th International Conference on Data Engineering
XML Clustering by Principal Component Analysis
ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
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XML is increasingly important in data exchange and information management. A large amount of efforts have been spent in developing efficient techniques for accessing, querying, and storing XML documents. In this paper, we propose a new method to cluster XML documents efficiently. A new prepresentative path called a virtul path which can represent both the structure and the contents of a XML document is proposed for the feature of a XML document. A method to apply the well known hierarchical clustering techniques to the representative paths to cluster XML documents is also proposed. The experiment shows that the true clusters are formed in a compact shape when a virtual path is used for the feature of a XML document.