Mining interesting XML-enabled association rules with templates

Feng, L; Dillon, TS

Mining interesting XML-enabled association rules with templates

Feng, L Dillon, TS

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Publisher:: Springer-Verlag Berlin
Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science: Knowledge Discovery In Inductive Databases, 2005, 3377 pp. 66 - 88
Issue Date:: 2005-01

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Full metadata record

Field	Value	Language
dc.contributor.author	Feng, L	en_US
dc.contributor.author	Dillon, TS	en_US
dc.contributor.editor	Goethals, B	en_US
dc.contributor.editor	Siebes, A	en_US
dc.date	2004-09-20	en_US
dc.date.issued	2005-01	en_US
dc.identifier.citation	Lecture Notes in Computer Science: Knowledge Discovery In Inductive Databases, 2005, 3377 pp. 66 - 88	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/15219
dc.description.abstract	XML-enabled association rule framework [FDWC03] extends the notion of associated items to XML fragments to present associations among trees rather than simple-structured items of atomic values. They are more flexible and powerful in representing both sim	en_US
dc.publisher	Springer-Verlag Berlin	en_US
dc.relation.ispartof	Lecture Notes in Computer Science: Knowledge Discovery In Inductive Databases	en_US
dc.relation.ispartof	International Workshop Knowledge Discovery in Inductive Databases	en_US
dc.relation.isbasedon	10.1007/978-3-540-31841-5_5	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Mining interesting XML-enabled association rules with templates	en_US
dc.type	Conference Proceeding
utslib.citation.volume	3377	en_US
utslib.location	Berlin, Germany	en_US
utslib.location.activity	Pisa, Italy	en_US
utslib.for	0803 Computer Software	en_US
dc.location.activity	Pisa, Italy	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.place-of-publication	Berlin, Germany	en_US
pubs.start-date	2004-09-20	en_US
pubs.volume	3377	en_US

Abstract:

XML-enabled association rule framework [FDWC03] extends the notion of associated items to XML fragments to present associations among trees rather than simple-structured items of atomic values. They are more flexible and powerful in representing both sim

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/15219