XAR-miner

Sheng Zhang, Ji Zhang, Han Liu, Wei Wang
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
more » ... eet the support and confidence levels are generated. The experiments conducted show that XAR-Miner is more efficient in performing a large number of AR mining tasks from XML documents than the state-of-the-art method of repetitively scanning through XML documents in order to perform each of the mining tasks.
doi:10.1145/1062745.1062785 dblp:conf/www/ZhangZLW05 fatcat:fl3qx7el5bfdrc5x6vfxsmxfqi