Show simple item record

dc.contributor.authorEhlers, Kobus
dc.contributor.authorJoubert, Malan
dc.contributor.authorKinghorn, Johann
dc.contributor.authorVan Zyl, Arnold
dc.date.accessioned2010-02-24T08:34:54Z
dc.date.available2010-02-24T08:34:54Z
dc.date.issued2009
dc.identifier.citationEhlers, K., Joubert, M., Kinghorn, J. & Van Zyl, A. 2009. A decision support system for institutional research management in higher education: data mining to determine research focus, intensity and synergy. IEEE International Conference on Computational Science and Engineering, Vancouver, Canada, 29-31 August 2009, 885-890.en
dc.identifier.isbn9780769538235
dc.identifier.other14322919en_ZA
dc.identifier.other10443711en_ZA
dc.identifier.other14218062en_ZA
dc.identifier.other15616355en_ZA
dc.identifier.other10.1109/CSE.2009.222
dc.identifier.urihttp://hdl.handle.net/10019.1/490
dc.description6 A4 pages in PDF formaten_ZA
dc.description.abstractResearch orientated universities face a conundrum. On the one hand research areas are increasing and expanding; on the other research resources are – in relative terms – diminishing. As a consequence a more active approach to shaping the institutional research profile is called for. This presupposes a clear view of research activities at the institution, but this is notoriously lacking, universities being what they are. This paper reports on a DSS which was developed for research management at Stellenbosch University, South Africa. Within the context of a rather unique national management system for higher education, a data mining approach was developed and tested. A modified ontology model was built to bridge the inherent ambiguity when clustering outputs across different academic disciplines. The results enabled research managers to correlate (in a meaningful way) strategic goals with actual output. The outcome points to a number of further possibilities for the application of this system.en_ZA
dc.description.abstract2009 International Conference on Computational Science and Engineering. Vancouver, Canada August 29-August 31 2009.en
dc.language.isoen_ZAen_ZA
dc.publisherIEEE CSen_ZA
dc.relation.ispartofseriesCSE;2009.222
dc.subjectDecision support systemen_ZA
dc.subjectData miningen_ZA
dc.subjectUniversity researchen_ZA
dc.subjectResearch managementen_ZA
dc.subject.lcshEducation, Higher -- South Africa -- Research -- Congresses
dc.subject.lcshUniversities and colleges -- South Africa -- Research -- Congresses
dc.subject.lcshResearch institutes -- South Africa -- Congresses
dc.titleA decision support system for institutional research management in higher education : data mining to determine research focus, intensity and synergyen_ZA
dc.typeArticleen_ZA


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record