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XAR-miner
2005
Special interest tracks and posters of the 14th international conference on World Wide Web - WWW '05
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
doi:10.1145/1062745.1062785
dblp:conf/www/ZhangZLW05
fatcat:fl3qx7el5bfdrc5x6vfxsmxfqi