DATA MINING
Desktop Survival Guide
by
Graham Williams
Desktop Survival
Project Home
List of Figures
List of Tables
Data Mining
Data Mining
Data Mining with Rattle
Introduction
Data
Transform
Explore
A Model Building Framework
Unsupervised Modelling
Two Class Models
Multi Class Models
Regression Models
Text Mining
Evaluation and Deployment
Moving into R
Troubleshooting
R for the Data Miner
R
Data
Graphics in R
Understanding Data
Preparing Data
Building Models
Evaluating Models
Algorithms
Apriori
Bagging
Bayes Classifier
Boosting
Cluster Analysis
Conditional Trees
Hierarchical Clustering
K-Means
K-Nearest Neighbours
Linear Models
Logistic Regression
Neural Networks
Support Vector Machines
Text Mining
Open Products
AlphaMiner
Borgelt Data Mining Suite
KNime
R
Rattle
Weka
Closed Products
C4.5
Clementine
Equbits Foresight
GhostMiner
InductionEngine
ODM
Enterprise Miner
Statistica Data Miner
TreeNet
Virtual Predict
Appendicies
Glossary
Bibliography
Index
Miscellaneous Plots
Subsections
Line and Point Plots
Matrix Data
Multiple Plots
Aligned Plots
Probability Scale
Network Plot
Sunflower Plot
Stairs Plot
Graphing Means and Error Bars
Bar Charts With Segments
Bar Plot With Means
Multi-Line Title
Mathematics
Plots for Normality
Basic Bar Chart
Bar Chart Options
Multiple Dot Plots
Alternative Multiple Dot Plots
3D Plot
Box and Whisker Plot
Box and Whisker Plot: With Means
Clustered Box Plot
Perspective Plots
Star Plot
Residuals Plot
Copyright © 2004-2006 Graham.Williams@togaware.com
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