Index
A
C
- classification
- Classification Model - test viewer 12.1.3
 
- components pane 4.1.4
- connection
- connections
- context menu
- Context Menu - Data Source Node 5.2.3.7
 
- cost - performance measure 12.1.1.1.4
- tune settings 12.2.2
 
- cost matrix 12.2.6.2
- Costs and Benefits 12.2.2.1
- Create Table or View Data - viewing 5.1.1.5
 
- Create Table or View Node
- creating
D
- database roles - Oracle R Enterprise 5.5.5.1
 
- Data Miner
- data miner project 3
- Data Mining
- Data Mining Process 1.1
- data mining project - create 3.1
 
- data preparation
- Data Source Node
- data table names 4.2.5.3
- data types
- data viewer
- Decision Tree 8.16.1.4
- define - data source 5.2.3.2
 
- delete - project 3.2
 
- depenency 7.4.2.3
- deploy
- deploying workflows
P
- Parallel Processing
- performance matrix 12.1.1.2
- Performance Matrix 12.1.3.2
- Predictive Confidence 12.1.1.1.1- formula 12.1.1.1.1
 
- prerequisites - Data Mining 2.1.1
 
- Profit 12.1.3.5, 12.2.6- using 12.2.6
 
- Profit and ROI 12.1.1.5- example 12.1.1.5.1
- use case 12.1.1.5.2
 
- profit setting 12.1.3.5.2
- project
- Propensity 13.12.6.4.2
- properties 4.1.6
R
- R Build node 8.13
- receiver operating characteristic - statistics 12.1.1.3
 
- Receiver Operating Characteristics 12.1.1.3, 12.2.4.2
- regression
- Regression Statistics 12.3.2
- rename - project 3.2
 
- Residual 12.3.4.2
- Residual Plot 12.3.1
- ROC 12.1.3.3- tuning steps 12.2.4.1
- Tuning tab 12.2.4
- using 12.1.1.3.1
 
- ROC curves 12.1.1.3
- R Script - support 5.5.5
 
S
- Sample Data 1.8.2
- Sample Node
- scoring 9.1
- scripts
- Select Data Guide 5.2.3.3
- SQL Query - restrictions 5.5.2
 
- SQL Query Node
- SQL tab 7.2.4
- SQL Worksheet 4.2.12.4
- supported data types - Graph Nodes 5.4.2
 
- Support Vector Machine 8.16.1.4, 8.16.2.3
- SVM algorithm - algorithms 13.12.1
 
- SVM coefficients 13.1.3.3.1, 13.12.6.1.1, 13.12.6.3
- SVM models - coefficients 13.12.9.1.1
- compare 13.1.3.3.3, 13.12.6.1.2, 13.12.6.4
- settings 13.7.3.4, 13.8.3.3, 13.10.3.5, 13.12.6.1.3, 13.12.6.5, 13.12.9.1.2
 
- SVM Regression - algorithm settings 13.12.7
 
T
W
- workflow - about 4.1
- compatibility 4.2.5.4
- creating 4.2.1
- deleting 4.2.3
- deploying 4.2.2
- exporting 4.2.5.1
- importing 3.2.5
- import requirements 4.2.5.2
- loading 4.2.4
- locking and unlocking 4.2.9.2
- managing 4.2.5
- name restrictions 4.2.1.1
- prerequisites 4.2.11
- properties 4.1.5
- renaming 4.2.7
- running 4.2.9
- sequence 4.1.1
- terminology 4.1.2
- thumbnail 4.1.3
- thumbnail view 4.1.3
 
- workflow controls - managing workflows 4.2.5.7
 
- Workflow Editor 4.1.4.1
- workflow scripts