Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/33212
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorVanhoof, Koen-
dc.contributor.advisorSammour, George-
dc.contributor.authorQABBAAH, Hamzah-
dc.date.accessioned2021-01-29T08:00:05Z-
dc.date.available2021-01-29T08:00:05Z-
dc.date.issued2021-
dc.date.submitted2021-01-07T12:13:07Z-
dc.identifier.urihttp://hdl.handle.net/1942/33212-
dc.language.isoen-
dc.titleLeveraging Parcel Descriptions Using Data Mining Approach As Enabler for Customs Fraud Detection and Data Monetisation Applications-
dc.typeTheses and Dissertations-
local.format.pages207-
local.bibliographicCitation.jcatT1-
local.type.refereedNon-Refereed-
local.type.specifiedPhd thesis-
local.provider.typePdf-
local.uhasselt.uhpubyes-
local.uhasselt.internationalno-
item.fulltextWith Fulltext-
item.accessRightsEmbargoed Access-
item.embargoEndDate2026-01-19-
item.fullcitationQABBAAH, Hamzah (2021) Leveraging Parcel Descriptions Using Data Mining Approach As Enabler for Customs Fraud Detection and Data Monetisation Applications.-
item.contributorQABBAAH, Hamzah-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
Binder1.pdf
  Until 2026-01-19
4.74 MBAdobe PDFView/Open    Request a copy
Show simple item record

Page view(s)

60
checked on Sep 6, 2022

Download(s)

72
checked on Sep 6, 2022

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.