Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/4225
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dc.contributor.authorKEULEERS, Bertold-
dc.contributor.authorWETS, Geert-
dc.contributor.authorArentze, T.-
dc.contributor.authorTIMMERMANS, Harry-
dc.date.accessioned2007-12-20T15:47:25Z-
dc.date.available2007-12-20T15:47:25Z-
dc.date.issued2001-
dc.identifier.citationElectronic proceedings of the 80th Annual Transport and Research Board Meeting, January 7-11, Washington, D.C..-
dc.identifier.urihttp://hdl.handle.net/1942/4225-
dc.publisherWashington D.C. National Academic Press 2001-
dc.titleUsing association rules to identify spatial temporal patterns in multi-day activity diary data-
dc.typeProceedings Paper-
local.bibliographicCitation.jcatC2-
local.type.specifiedProceedings Paper-
dc.bibliographicCitation.oldjcat-
local.bibliographicCitation.btitleElectronic proceedings of the 80th Annual Transport and Research Board Meeting, January 7-11, Washington, D.C.-
item.fulltextNo Fulltext-
item.contributorKEULEERS, Bertold-
item.contributorWETS, Geert-
item.contributorArentze, T.-
item.contributorTIMMERMANS, Harry-
item.fullcitationKEULEERS, Bertold; WETS, Geert; Arentze, T. & TIMMERMANS, Harry (2001) Using association rules to identify spatial temporal patterns in multi-day activity diary data. In: Electronic proceedings of the 80th Annual Transport and Research Board Meeting, January 7-11, Washington, D.C...-
item.accessRightsClosed Access-
Appears in Collections:Research publications
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