Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/6381
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dc.contributor.authorJARONSKI, Waldemar-
dc.contributor.authorBLOEMER, Johanna-
dc.contributor.authorVANHOOF, Koen-
dc.contributor.authorWETS, Geert-
dc.date.accessioned2007-12-20T16:07:29Z-
dc.date.available2007-12-20T16:07:29Z-
dc.date.issued2001-
dc.identifier.citationProceedings of Data Mining for Marketing Applications Workshop at ECML/PKDD 2001, 3-7 September 2001, Freiburg, Germany.-
dc.identifier.urihttp://hdl.handle.net/1942/6381-
dc.publishers.l. 2001-
dc.titleUse of Bayesian belief networks to help understand online audience-
dc.typeProceedings Paper-
local.bibliographicCitation.jcatC2-
local.type.specifiedProceedings Paper-
dc.bibliographicCitation.oldjcat-
local.bibliographicCitation.btitleProceedings of Data Mining for Marketing Applications Workshop at ECML/PKDD 2001, 3-7 September 2001, Freiburg, Germany-
item.contributorJARONSKI, Waldemar-
item.contributorBLOEMER, Johanna-
item.contributorVANHOOF, Koen-
item.contributorWETS, Geert-
item.fullcitationJARONSKI, Waldemar; BLOEMER, Johanna; VANHOOF, Koen & WETS, Geert (2001) Use of Bayesian belief networks to help understand online audience. In: Proceedings of Data Mining for Marketing Applications Workshop at ECML/PKDD 2001, 3-7 September 2001, Freiburg, Germany..-
item.accessRightsClosed Access-
item.fulltextNo Fulltext-
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