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- 2005938947 contributor B10404983.
- 2005938947 contributor B10404984.
- 2005938947 created "c2006.".
- 2005938947 date "2006".
- 2005938947 date "c2006.".
- 2005938947 dateCopyrighted "c2006.".
- 2005938947 extent "xvi, 260 p. :".
- 2005938947 identifier "3540316817 (acid-free paper)".
- 2005938947 identifier "9783540316817 (acid-free paper)".
- 2005938947 identifier 2005938947-d.html.
- 2005938947 identifier 2005938947.html.
- 2005938947 isPartOf "Studies in computational intelligence, 1860-949X ; v. 17".
- 2005938947 issued "2006".
- 2005938947 issued "c2006.".
- 2005938947 language "eng".
- 2005938947 publisher "Berlin ; New York : Springer,".
- 2005938947 subject "006.3/12 22".
- 2005938947 subject "Data mining.".
- 2005938947 subject "Kernel functions.".
- 2005938947 subject "Machine learning.".
- 2005938947 subject "Q325.5 .H83 2006".
- 2005938947 title "Kernel based algorithms for mining huge data sets : supervised, semi-supervised, and unsupervised learning / Te-Ming Huang, Vojislav Kecman, Ivica Kopriva.".
- 2005938947 type "text".