Relevant attribute discovery in high dimensional data based on rough sets and unsupervised classification: application to Leukemia gene expressions
Relevant attribute discovery in high dimensional data based on rough sets and unsupervised classification: application to Leukemia gene expressions
Alternative title | Relevant attribute discovery in high dimensional data based on rough sets applications to Leukemia gene expressions |
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DOI | Resolve DOI: https://doi.org/10.1007/11548706_38 |
Author | Search for: Valdés, Julio J.1; Search for: Barton, Alan J.1 |
Name affiliation |
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Format | Text, Book chapter |
Proceedings title | Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing |
Series title | Lecture Notes in Computer Science; Volume 3642 Lecture Notes in Artificial Intelligence; Volume 3642 |
Conference | The Tenth International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2005), August 31 - September 3, 2005, Regina, Saskatchewan, Canada |
ISSN | 0302-9743 1611-3349 |
ISBN | 978-3-540-28660-8 978-3-540-31824-8 |
Pages | 362–371 |
Subject | acute myeloid leukemia; acute lymphoblastic leukemia; high dimensional data; decision attribute; remote host |
Abstract | |
Publisher | Springer |
Language | English |
Peer reviewed | Yes |
NRC number | NRCC 48122 |
NPARC number | 8913287 |
Export citation | Export as RIS |
Report a correction | Report a correction | Record identifier | ed378d76-e02c-49d9-9c9a-4b18c393e1d6 |
Record created | 2009-04-22 |
Record modified | 2020-09-15 |