Index
A
accessibility features 3
Append node 47
Association node 48
AutoNeural node 50
C
Cluster node 48
Control Point node 41, 53
Cutoff node 53
D
Data Partition node 18, 47
data source
create new 11, 43
Data Source Wizard 11, 43
decision tree
and missing value imputation 30
depth 22
leaf size 22
surrogate rules 23
train automatically 22
train interactively 24
Decision Tree node 22, 24, 51
Decisions node 53
DMDB node 48
Dmine Regression node 51
DMNeural node 51
Drop node 49
E
End Groups node 53
Ensemble node 51
Ext Demo node 54
F
File Import node 47
File Importnode 11
Filter node 48
G
Gradient Boosting 27
Gradient Boosting node 51
Graph Explore node 49
graphical user interface 4
I
Impute node 30, 50
Incremental Response node 54
Input node 48
Interactive Binning node 50
L
LARS node 51
library
create new 10
Library Wizard 10
logistic regression 33
M
Market Basket node 49
MBR node 51
Merge node 48
Metadata node 54
missing values 29
Model Comparison node 41, 53
Model Import node 52
MultiPlot node 49
N
Neural Network node 38, 52
P
Partial Least Squares node 52
Path Analysis node 49
Principal Components node 50
process flow diagram
create new 13
project
69
create new 10
R
Regression node 33, 52
Replacement node 19, 50
Reporter node 54
Rule Induction node 52
Rules Builder node 50
S
sample data location 8
Sample node 48
SAS Code node 44, 54
Score Code Export node 54
Score node 53
Segment Profile node 53
SEMMA steps 1
SOM/Kohonen node 49
Start Groups node 54
StatExplore node 15, 49
Survival node 54
SVM node 52
T
Time Series node 48
Transform Variables node 31, 50
TwoStage node 52
V
Variable Clustering node 49
Variable Selection node 49
70 Index

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