DATA MINING
Desktop Survival Guide
by
Graham Williams
Desktop Survival
Project Home
List of Figures
List of Tables
Data Mining with Rattle
Introduction
Data Mining with Rattle
Data Sources
Selecting Data
Exploring Data
Transforming Data
Descriptive Models
Predictive Models
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
Reporting
Cluster Analysis
Text Mining
Text Mining
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
List of Tables
Contact lens training data.
Subsections
Preface
Goals
Organisation
Features
Audience
Typographical Conventions
A Note on Languages
Acknowledgements
Copyright © 2004-2008 Togaware Pty Ltd
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