Data mining and statistics for decision making /
"This practical guide to understanding and implementing data mining techniques discusses traditional methods--cluster analysis, factor analysis, linear regression, PLS regression, and generalized linear models--and recent methods--bagging and boosting, decision trees, neural networks, support v...
| Main Author: | Tuffery, Stephane |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Chichester, West Sussex ; Hoboken, NJ. :
Wiley,
2011.
|
| Series: | Wiley series in computational statistics.
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Making sense of data I : a practical guide to exploratory data analysis and data mining /
by: Myatt, Glenn J., 1969-
Published: (2014) -
Data mining and business analytics with R /
by: Ledolter, Johannes
Published: (2013) -
Data mining : concepts, models, methods, and algorithms /
by: Kantardzic, Mehmed
Published: (2011) -
Decision-making and action /
by: Pomerol, Jean-Charles
Published: (2012) -
Making sense of data III : a practical guide to designing interactive data visualizations /
by: Myatt, Glenn J., 1969-
Published: (2012)