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.

• Type: Conference
• Year: 2005
• Where: WWW
• Authors: Sheng Zhang, Ji Zhang, Han Liu, Wei Wang
• Keywords: Association Rule Mining, Internet Technology, Mining Ars, WWW 2005, XML Document