DSpace at EWHA: Computing similarity between XML documents for XML mining

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DC Field	Value	Language
dc.contributor.author	박승수	*
dc.contributor.author	이정원	*
dc.date.accessioned	2018-06-02T08:14:30Z	-
dc.date.available	2018-06-02T08:14:30Z	-
dc.date.issued	2004	*
dc.identifier.issn	0302-9743	*
dc.identifier.other	OAK-17504	*
dc.identifier.uri	https://dspace.ewha.ac.kr/handle/2015.oak/244156	-
dc.description.abstract	The self-describing feature of XML offers both challenges and opportunities in document management and data mining. We propose new metric for computing similarity between XML documents for XML mining. © Springer-Verlag Berlin Heidelberg 2004.	*
dc.language	English	*
dc.title	Computing similarity between XML documents for XML mining	*
dc.type	Conference Paper	*
dc.relation.volume	3257	*
dc.relation.index	SCOPUS	*
dc.relation.startpage	492	*
dc.relation.lastpage	493	*
dc.relation.journaltitle	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)	*
dc.identifier.scopusid	2-s2.0-22944431526	*
dc.author.google	Lee J.-W.	*
dc.author.google	Park S.-S.	*
dc.contributor.scopusid	박승수(7501833630)	*
dc.date.modifydate	20240322133123	*