Finding relevant attributes in high dimensional data: a distributed computing hybrid data mining strategy
Finding relevant attributes in high dimensional data: a distributed computing hybrid data mining strategy
DOI | Resolve DOI: https://doi.org/10.1007/978-3-540-71200-8_20 |
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Author | Search for: Valdés, Julio; Search for: Barton, Alan |
Format | Text, Article |
Journal title | Transactions on Rough Sets VI |
ISBN | 978-3-540-71198-8 978-3-540-71200-8 |
Pages | 366–396 |
Abstract | |
Publication date | 2007 |
Publisher | Springer |
Language | English |
Peer reviewed | Yes |
NRC number | NRCC 48766 |
NPARC number | 5764714 |
Export citation | Export as RIS |
Report a correction | Report a correction |
Record identifier | 4cd37a2c-96cc-49b7-b656-ab3ec99a8508 |
Record created | 2009-03-29 |
Record modified | 2020-05-10 |