Rough hypercuboid approach for feature selection in approximation spaces
| dc.contributor.author | Maji, Pradipta | |
| dc.date.accessioned | 2013-01-18T12:00:34Z | |
| dc.date.available | 2013-01-18T12:00:34Z | |
| dc.date.issued | 2012 | |
| dc.identifier.citation | IEEETOKADE, p 1-14 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10263/5163 | |
| dc.language.iso | en | en_US |
| dc.subject | Pattern recognition | en_US |
| dc.subject | Rough sets | en_US |
| dc.subject | Rough hypercuboid approach | en_US |
| dc.subject | Data mining | en_US |
| dc.subject | Feature selection | en_US |
| dc.title | Rough hypercuboid approach for feature selection in approximation spaces | en_US |
| dc.type | Article | en_US |
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