Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Identification of interesting patterns in large health databases

Simple item page
dc.contributor.authorSemenova, Tatiana
dc.date.accessioned2018-11-22T00:07:41Z
dc.date.available2018-11-22T00:07:41Z
dc.date.copyright2006
dc.date.issued2006
dc.date.updated2018-11-21T08:16:25Z
dc.format.extent178, [25] p.
dc.identifier.otherb2321451
dc.identifier.urihttp://hdl.handle.net/1885/151258
dc.language.isoen_AUen_AU
dc.rightsAuthor retains copyrighten_AU
dc.subject.lccQA76.9.D343S46 2006
dc.subject.lcshData mining
dc.subject.lcshComputer algorithms
dc.subject.lcshKnowledge acquisition (Expert systems)
dc.subject.lcshDatabases
dc.titleIdentification of interesting patterns in large health databases
dc.typeThesis (PhD)en_AU
dcterms.accessRightsOpen Accessen_AU
local.description.notesThesis (Ph.D.)--Australian National University 2006en_AU
local.identifier.doi10.25911/5d515406117c3
local.mintdoimint
local.type.statusAccepted Versionen_AU

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
b2321451x-Semenova_T.pdf
Size:
315.33 MB
Format:
Adobe Portable Document Format
Download

Collections

Open Access Theses

DSpace software copyright © 2002-2026 LYRASIS