An approach to outlier detection of software measurement data using the k-means clustering method
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Yoon, Kyung-A | - |
| dc.contributor.author | Kwon, Oh-Sung | - |
| dc.contributor.author | Bae, Doo-Hwan | - |
| dc.date.accessioned | 2008-03-06T09:38:04Z | - |
| dc.date.available | 2008-03-06T09:38:04Z | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.issued | 2007-09-20 | - |
| dc.identifier.citation | 1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007, v., no., pp.443 - 445 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/3308 | - |
| dc.language | ENG | - |
| dc.language.iso | en_US | en |
| dc.publisher | IEEE | - |
| dc.title | An approach to outlier detection of software measurement data using the k-means clustering method | - |
| dc.type | Conference | - |
| dc.identifier.scopusid | 2-s2.0-47949101596 | - |
| dc.type.rims | CONF | - |
| dc.citation.beginningpage | 443 | - |
| dc.citation.endingpage | 445 | - |
| dc.citation.publicationname | 1st International Symposium on Empirical Software Engineering and Measurement, ESEM 2007 | - |
| dc.identifier.conferencecountry | Portugal | - |
| dc.identifier.conferencecountry | Portugal | - |
| dc.contributor.localauthor | Bae, Doo-Hwan | - |
| dc.contributor.nonIdAuthor | Yoon, Kyung-A | - |
| dc.contributor.nonIdAuthor | Kwon, Oh-Sung | - |
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