DATA MINING
Desktop Survival Guide
by
Graham Williams
Desktop Survival
Project Home
Data Mining
Introduction
Getting Started
Data
Loading Data
Exploring Data
Interactive Graphics
Test
Descriptive Data Mining
Predictive Data Mining
Evaluation and Deployment
Data Cleaning
Handling Missing Data
Transforming Data
Data Reduction
Deployment
Troubleshooting
Issues
Moving into R
Beyond Rattle
R
Getting Help
Data
Graphics in R
Understanding Data
Preparing Data
Descriptive and Predictive Analytics
Issues
Evaluating Models
Reporting
Topics in Data Mining
Fraud Analysis
Archetype Analysis
Text Mining
Survival Analysis
Algorithms
Bagging
Bayes Classifier
Cluster Analysis
Conditional Trees
Hierarchical Clustering
K-Nearest Neighbours
Linear Models
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
Appendices
Installing Rattle
Bibliography
Index
Preface
Goals
Organisation
Features
Audience
Typographical Conventions
A Note on Languages
Currency
Acknowledgements
Max Depth (maxdepth)
The Rarg[]maxdepth variable specifies the maximum depth for the tree.
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. This page generated: Saturday, 16 January 2010