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
List of Figures
R command line under GNU/Linux
R command line under MS/Windows
R GUI using ESS for Emacs
R Commander GUI
Togaware's
Rattle
Gnome Data Mining interface.
The Weka GUI chooser.
Weka explorer viewing data.
Import CSV data into Weka.
Output from running J48 (C4.5).
Fujitsu GhostMiner interface.
Sample ODMiner interface to ODM.
SAS Enterprise Miner interface (Version 4).
Statistica
Data Miner graphical interface.
Copyright © 2004-2006
[email protected]
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