Please use this identifier to cite or link to this item:
http://hdl.handle.net/10263/5163
Full metadata record
DC Field | Value | Language |
---|---|---|
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 |
Appears in Collections: | Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Rough Hypercuboid Approach for Feature Selection in Approximation Spaces- IEEETOKADE-2012-p 1-14.pdf | 4.55 MB | Adobe PDF | View/Open |
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