document: XAR-miner : efficient association rules mining for XML data In this paper , we propose a framework , called XAR-Miner , for mining ARs from XML documents efficiently . In XAR-Miner , raw data in the XML document are first preprocessed to transform to either an Indexed Content Tree ( IX-tree ) or Multi-relational databases ( Multi-DB ) , depending on the size of XML document and memory constraint of the system , for efficient data selection and AR mining . Task-relevant concepts are generalized to produce generalized meta-patterns , based on which the large ARs that meet the support and confidence levels are generated .
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