Relational Computation for Mining Association Rules from XML Data

dc.contributor.author	Liu Hong-Cheu
dc.contributor.author	Zeleznikow John
dc.date.accessioned	2018-01-22T17:24:14Z
dc.date.available	2018-01-22T17:24:14Z
dc.date.issued	2005
dc.identifier.uri	http://hdl.handle.net/123456789/6902
dc.description.abstract	We develop a fixpoint operator for computing large item sets and demonstrate three query paradigm solutions for association rule mining that use the idea of least fixpoint computation and indicates some optimisation issues. The results of our research provide theoretical foundation for relational computation of association rules and its application on XML mining.
dc.format	application/pdf
dc.title	Relational Computation for Mining Association Rules from XML Data
dc.type	generic