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
Select Data
Explore
Transform
Classify
Unsupervised
Text Mining
Evaluation and Deployment
Issues
Moving into R
Troubleshooting
R for the Data Miner
R
Data
Graphics in R
Understanding Data
Preparing Data
Descriptive and Predictive Analytics
Issues
Evaluating Models
Cluster Analysis
Algorithms
Bagging
Bayes Classifier
Cluster Analysis
Conditional Trees
Hierarchical Clustering
K-Nearest Neighbours
Linear Models
Neural Networks
Support Vector Machines
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
Unsupervised
Subsections
Cluster Analysis
KMeans
Export KMeans Clusters
Discriminant Coordinates Plot
Number of Clusters
Hierarchical Clusters
Association Rules
Basket Analysis
General Rules
Copyright © Graham.Williams@togaware.com
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