DATA MINING
Desktop Survival Guide
by
Graham Williams
Desktop Survival
Project Home
Rattle
Introduction
Getting Started
Interacting with Rattle
Data
Exploring Data
Test
Transforming Data
Cluster Analysis
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
Installing Rattle
Glossary
Bibliography
Index
Appendicies
Subsections
Installing Rattle
Preliminaries
Install Debian
Install MS/Windows
Install Macintosh OS/X
Install MS/Windows R Under GNU/Linux
Installation Details
Initiating Rattle
.Rprofile and Rprofile.site
Scripts
Glossary
B
C
D
E
F
G
I
K
L
M
O
P
Q
R
S
T
U
V
Copyright © Togaware Pty Ltd
Support further development through the
purchase of the PDF
version of the book.
PDF version is properly formatted and forms a comprehensive book (draft with over 700 pages).
Brought to you by
Togaware
. This page generated: Tuesday, 23 December 2008