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XAR-miner: efficient association rules mining for XML data

9 years 9 months ago
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. Categories and Subject Descriptors H.2.8 [Database Management]: Database Applications ? Data mining. General Terms: Management. Keywords Association Rule Mining, XML Data, Meta-Patterns.
Sheng Zhang, Ji Zhang, Han Liu, Wei Wang
Added 22 Nov 2009
Updated 22 Nov 2009
Type Conference
Year 2005
Where WWW
Authors Sheng Zhang, Ji Zhang, Han Liu, Wei Wang
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