Rough sets for mining educational data
While educational data are typically analyzed with statistical software, data mining techniques are increasingly appropriate in revealing complex relationships among multiple variables in large amounts of data. We experimented with the rough set method in conjunction with statistical analysis to ide...
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| Format: | Conference Paper |
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Institute of Electrical and Electronic Engineers
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/43611 |
| _version_ | 1848756749534756864 |
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| author | Johnson, J. Johnson, Genevieve Cavanagh, Rob |
| author2 | Yi Zhao |
| author_facet | Yi Zhao Johnson, J. Johnson, Genevieve Cavanagh, Rob |
| author_sort | Johnson, J. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | While educational data are typically analyzed with statistical software, data mining techniques are increasingly appropriate in revealing complex relationships among multiple variables in large amounts of data. We experimented with the rough set method in conjunction with statistical analysis to identify patterns in, and thereby extract meaning from, complex educational data. Results establish the benefits of combining rough set decision making with stochastic analysis in mining exceedingly complex and difficult to interpret educational data sets. |
| first_indexed | 2025-11-14T09:17:09Z |
| format | Conference Paper |
| id | curtin-20.500.11937-43611 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:17:09Z |
| publishDate | 2012 |
| publisher | Institute of Electrical and Electronic Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-436112017-09-13T16:05:07Z Rough sets for mining educational data Johnson, J. Johnson, Genevieve Cavanagh, Rob Yi Zhao data mining uncertain reasoning educational data rough sets While educational data are typically analyzed with statistical software, data mining techniques are increasingly appropriate in revealing complex relationships among multiple variables in large amounts of data. We experimented with the rough set method in conjunction with statistical analysis to identify patterns in, and thereby extract meaning from, complex educational data. Results establish the benefits of combining rough set decision making with stochastic analysis in mining exceedingly complex and difficult to interpret educational data sets. 2012 Conference Paper http://hdl.handle.net/20.500.11937/43611 10.1109/SCET.2012.6341891 Institute of Electrical and Electronic Engineers fulltext |
| spellingShingle | data mining uncertain reasoning educational data rough sets Johnson, J. Johnson, Genevieve Cavanagh, Rob Rough sets for mining educational data |
| title | Rough sets for mining educational data |
| title_full | Rough sets for mining educational data |
| title_fullStr | Rough sets for mining educational data |
| title_full_unstemmed | Rough sets for mining educational data |
| title_short | Rough sets for mining educational data |
| title_sort | rough sets for mining educational data |
| topic | data mining uncertain reasoning educational data rough sets |
| url | http://hdl.handle.net/20.500.11937/43611 |