TY  - GEN
AU  - Huang,Te-Ming
AU  - Kecman,V.
AU  - Kopriva,Ivica
TI  - Kernel based algorithms for mining huge data sets - (E-BOOK)
SN  - 3540316817 (acid-free paper)
U1  - 006.312 
PY  - 2006///
CY  - Berlin ; New York
PB  - Springer
KW  - Data mining
KW  - Kernel functions
KW  - Machine learning
KW  - E-BOOK
N1  - Introduction.(Page-1)-  Support Vector Machines in Classification and Regression An Introduction. (Page-11)-  Iterative Single Data Algorithm for Kernel Machines from Huge Data Sets: Theory and Performance. (Page-61)- Feature Reduction with Support Vector Machines and Application in DNA Microarray Analysis. (Page-97)- Semi-supervised Learning and Applications. (Page-125)-  Unsupervised Learning by Principal and Independent Component Analysis. (Page-175)
UR  - http://www.loc.gov/catdir/enhancements/fy0663/2005938947-d.html
UR  - http://www.loc.gov/catdir/toc/fy0611/2005938947.html
ER  -