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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/ausai/GuLHWHK03>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Chris_Kelman>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Graham_J._Williams>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Hongxing_He>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Jiuyong_Li>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Lifang_Gu>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Simon_Hawkins>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1007%2F978-3-540-24581-0%5F19>
foaf:homepage <https://doi.org/10.1007/978-3-540-24581-0_19>
dc:identifier DBLP conf/ausai/GuLHWHK03 (xsd:string)
dc:identifier DOI doi.org%2F10.1007%2F978-3-540-24581-0%5F19 (xsd:string)
dcterms:issued 2003 (xsd:gYear)
rdfs:label Association Rule Discovery with Unbalanced Class Distributions. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Chris_Kelman>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Graham_J._Williams>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Hongxing_He>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Jiuyong_Li>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Lifang_Gu>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Simon_Hawkins>
swrc:pages 221-232 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/ausai/2003>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/ausai/GuLHWHK03/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/ausai/GuLHWHK03>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/ausai/ausai2003.html#GuLHWHK03>
rdfs:seeAlso <https://doi.org/10.1007/978-3-540-24581-0_19>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/ausai>
dc:subject knowledge discovery and data mining, association rules, record linkage, administrative data, adverse drug reaction (xsd:string)
dc:title Association Rule Discovery with Unbalanced Class Distributions. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document