This book provides an introduction into data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. In addition, this revised edition features a detailed introductory chapter, as well as new clustering algorithms and extensive coverage of R. Out of date sections will be updated according to the current advances in the field.
"…an excellent problem-solving resource..." (CHOICE, June 2007)
"…the latest techniques…insight into how data mining algorithms work…" (Materials World, April 2007)
| 1 | Dimension reduction methods | 1 |
| 2 | Regression modeling | 33 |
| 3 | Multiple regression and model building | 93 |
| 4 | Logistic regression | 155 |
| 5 | Naive Bayes estimation and Bayesian networks | 204 |
| 6 | Genetic algorithms | 240 |
| 7 | Case study : modeling response to direct mail marketing | 265 |
Overview
This book provides an introduction into data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. In addition, this revised edition features a detailed introductory chapter, as well as new clustering algorithms and extensive coverage of R. Out of date sections will be updated according to the current advances in the field.