DATA MINING Desktop Survival Guide by Graham Williams
Desktop Survival Project Home Preface List of Figures List of Tables Process . Data Graphics in R Understanding Data Preparing Data Building Models Evaluating Models Algorithms Apriori Bagging Bayes Classifier Boosting Conditional Trees Decision Trees Hierarchical Clustering Kernel Methods K-Means K-Nearest Neighbours Linear Models Logistic Regression Neural Networks Support Vector Machines Text Mining Open Products Borgelt Data Mining Suite R Rattle Weka Closed Products C4.5 Clementine Enterprise Miner Equbits Foresight GhostMiner InductionEngine ODM Statistica Data Miner TreeNet Virtual Predict Appendicies Glossary Bibliography Index

List of Figures

1. R command line under GNU/Linux
2. R command line under MS/Windows
3. R GUI using ESS for Emacs
4. R Commander GUI
5. Togaware's Rattle Gnome Data Mining interface.
6. The Weka GUI chooser.
7. Weka explorer viewing data.
8. Import CSV data into Weka.
9. Output from running J48 (C4.5).
10. SAS Enterprise Miner interface (Version 4).
11. Fujitsu GhostMiner interface.
12. Sample ODMiner interface to ODM.
13. Statistica Data Miner graphical interface.

Brought to you by Togaware.