Generation of rough set (RS) significant reducts and rules for cardiac dataset classification
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2007
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| Online Access: | http://eprints.utm.my/id/eprint/2583/ |
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| Institution: | Universiti Teknologi Malaysia |
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my.utm.25832013-11-13T04:40:59Z http://eprints.utm.my/id/eprint/2583/ Generation of rough set (RS) significant reducts and rules for cardiac dataset classification Sulaiman, Noor Suhana QA75 Electronic computers. Computer science 2007 Thesis NonPeerReviewed Sulaiman, Noor Suhana (2007) Generation of rough set (RS) significant reducts and rules for cardiac dataset classification. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information System. |
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Asia |
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Malaysia |
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| topic |
QA75 Electronic computers. Computer science |
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QA75 Electronic computers. Computer science Sulaiman, Noor Suhana Generation of rough set (RS) significant reducts and rules for cardiac dataset classification |
| format |
Thesis |
| author |
Sulaiman, Noor Suhana |
| author_facet |
Sulaiman, Noor Suhana |
| author_sort |
Sulaiman, Noor Suhana |
| title |
Generation of rough set (RS) significant reducts and rules for cardiac dataset classification |
| title_short |
Generation of rough set (RS) significant reducts and rules for cardiac dataset classification |
| title_full |
Generation of rough set (RS) significant reducts and rules for cardiac dataset classification |
| title_fullStr |
Generation of rough set (RS) significant reducts and rules for cardiac dataset classification |
| title_full_unstemmed |
Generation of rough set (RS) significant reducts and rules for cardiac dataset classification |
| title_sort |
generation of rough set (rs) significant reducts and rules for cardiac dataset classification |
| publishDate |
2007 |
| url |
http://eprints.utm.my/id/eprint/2583/ |
| _version_ |
1643643608492933120 |