Using data mining techniques to cluster Singapore companies.
The study uses Kohonen Self-Organizing Map, k-means clustering and two-step clustering to cluster companies in Singapore based on the companies' financial results.
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2008
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Online Access: | http://hdl.handle.net/10356/1783 |
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Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-17832019-12-10T14:07:23Z Using data mining techniques to cluster Singapore companies. Chng, Loi Siang. Khoo, Christopher Soo Guan Wee Kim Wee School of Communication and Information DRNTU::Library and information science::General DRNTU::Library and information science::Libraries::Automation The study uses Kohonen Self-Organizing Map, k-means clustering and two-step clustering to cluster companies in Singapore based on the companies' financial results. Master of Science (Information Studies) 2008-09-10T08:36:13Z 2008-09-10T08:36:13Z 2003 2003 Thesis http://hdl.handle.net/10356/1783 Nanyang Technological University application/pdf |
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DRNTU::Library and information science::General DRNTU::Library and information science::Libraries::Automation |
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DRNTU::Library and information science::General DRNTU::Library and information science::Libraries::Automation Chng, Loi Siang. Using data mining techniques to cluster Singapore companies. |
description |
The study uses Kohonen Self-Organizing Map, k-means clustering and two-step clustering to cluster companies in Singapore based on the companies' financial results. |
author2 |
Khoo, Christopher Soo Guan |
author_facet |
Khoo, Christopher Soo Guan Chng, Loi Siang. |
format |
Theses and Dissertations |
author |
Chng, Loi Siang. |
author_sort |
Chng, Loi Siang. |
title |
Using data mining techniques to cluster Singapore companies. |
title_short |
Using data mining techniques to cluster Singapore companies. |
title_full |
Using data mining techniques to cluster Singapore companies. |
title_fullStr |
Using data mining techniques to cluster Singapore companies. |
title_full_unstemmed |
Using data mining techniques to cluster Singapore companies. |
title_sort |
using data mining techniques to cluster singapore companies. |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/1783 |
_version_ |
1681047617425899520 |