Mining Quantized Association Rules in Large Databases

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 366
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorKim, EK-
dc.contributor.authorLee, Yoon Joon-
dc.contributor.authorKim, Myoung Ho-
dc.contributor.authorLee, Doheon-
dc.date.accessioned2013-03-15T03:05:17Z-
dc.date.available2013-03-15T03:05:17Z-
dc.date.created2012-02-06-
dc.date.issued1996-
dc.identifier.citationKISS Conference, v., no., pp.155 - 158-
dc.identifier.urihttp://hdl.handle.net/10203/115931-
dc.languageENG-
dc.publisherKISS Conference-
dc.titleMining Quantized Association Rules in Large Databases-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.beginningpage155-
dc.citation.endingpage158-
dc.citation.publicationnameKISS Conference-
dc.identifier.conferencecountrySouth Korea-
dc.identifier.conferencecountrySouth Korea-
dc.contributor.localauthorLee, Yoon Joon-
dc.contributor.localauthorKim, Myoung Ho-
dc.contributor.localauthorLee, Doheon-
dc.contributor.nonIdAuthorKim, EK-
Appears in Collection
BiS-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0