Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Includes bibliographical references (leaves 109-113).
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Statistical Sciences
2014
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613154014396416 |
|---|---|
| access_status_str | Open Access |
| author | Ramaboa, Kutlwano K K M |
| author2 | Wegner, Trevor |
| author_browse | Ramaboa, Kutlwano K K M Wegner, Trevor |
| author_facet | Wegner, Trevor Ramaboa, Kutlwano K K M |
| author_sort | Ramaboa, Kutlwano K K M |
| collection | Thesis |
| description | Includes bibliographical references (leaves 109-113). |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/5973 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:31:35.974Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Statistical Sciences |
| publisherStr | Department of Statistical Sciences |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/5973 A comparative evaluation of data mining classification techniques on medical trauma data Ramaboa, Kutlwano K K M Wegner, Trevor Statistical Science Includes bibliographical references (leaves 109-113). The purpose of this research was to determine the extent to which a selection of data mining classification techniques (specifically, Discriminant Analysis, Decision Trees, and three artifical neural network models - Backpropogation, Probablilistic Neural Networks, and the Radial Basis Function) are able to correctly classify cases into the different categories of an outcome measure from a given set of input variables (i.e. estimate their classification accuracy) on a common database. 2014-08-02T15:15:41Z 2014-08-02T15:15:41Z 2004 Master Thesis Masters MBusSc http://hdl.handle.net/11427/5973 eng application/pdf Department of Statistical Sciences Faculty of Science University of Cape Town |
| spellingShingle | Statistical Science Ramaboa, Kutlwano K K M A comparative evaluation of data mining classification techniques on medical trauma data |
| thesis_degree_str | Master's |
| title | A comparative evaluation of data mining classification techniques on medical trauma data |
| title_full | A comparative evaluation of data mining classification techniques on medical trauma data |
| title_fullStr | A comparative evaluation of data mining classification techniques on medical trauma data |
| title_full_unstemmed | A comparative evaluation of data mining classification techniques on medical trauma data |
| title_short | A comparative evaluation of data mining classification techniques on medical trauma data |
| title_sort | comparative evaluation of data mining classification techniques on medical trauma data |
| topic | Statistical Science |
| url | http://hdl.handle.net/11427/5973 |
| work_keys_str_mv | AT ramaboakutlwanokkm acomparativeevaluationofdataminingclassificationtechniquesonmedicaltraumadata AT ramaboakutlwanokkm comparativeevaluationofdataminingclassificationtechniquesonmedicaltraumadata |