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Contents
List of Figures
List of Tables
Title and Copyright Information
Preface
Audience
Documentation Accessibility
Related Documents
Conventions
1
Oracle Data Miner
1.1
About the Data Mining Process
1.2
New Features and Changes in SQL Developer 4.1
1.3
Overview of Oracle Data Miner
1.4
Architecture of Oracle Data Miner
1.5
Snippets in Oracle Data Miner
1.5.1
Predictive Analytics Snippets
1.6
About the Oracle Data Miner Repository Installation
1.6.1
Installing the Data Miner Repository Using the GUI
1.7
About Dropping the Oracle Data Miner Repository
1.7.1
Dropping the Data Miner Repository Using GUI
1.8
About Oracle Data Miner Repository Migration
1.8.1
Migrating the Oracle Data Miner Repository Using the GUI
1.9
How to Use Oracle Data Miner
1.9.1
Oracle By Example for Oracle Data Miner 4.0
1.9.2
Sample Data
1.9.3
Oracle Data Miner Online Help
1.9.3.1
Search the Online Help
1.9.4
Oracle Data Mining Forum
1.9.5
Oracle Data Miner Documentation
2
Connections for Data Mining
2.1
About the Data Miner Tab
2.1.1
Prerequisites for Data Mining
2.1.2
Viewing the Data Miner Tab
2.2
Creating a Connection
2.2.1
Creating Connections from the Connections Tab
2.2.2
Creating Connections from the Data Miner Tab
2.2.3
Managing a Connection
2.2.3.1
Viewing and Editing Connection Properties
2.2.3.2
Removing a Connection
2.2.4
Connecting to a Database
2.2.4.1
Provide Password
3
Data Miner Projects
3.1
Creating a Project
3.1.1
Project Name Restrictions
3.2
Managing a Project
3.2.1
Deleting a Project
3.2.2
Expanding a Project
4
Workflow
4.1
About Workflows
4.1.1
Workflow Sequence
4.1.2
Workflow Terminology
4.1.3
Workflow Thumbnail
4.1.4
Components
4.1.4.1
My Components
4.1.4.2
Workflow Editor
4.1.4.3
All Pages
4.1.5
Workflow Properties
4.1.6
Properties
4.2
Working with Workflows
4.2.1
Workflow Prerequisites
4.2.2
Creating a Workflow
4.2.2.1
Workflow Name Restrictions
4.2.3
Deleting a Workflow
4.2.4
Renaming a Workflow
4.2.5
Loading a Workflow
4.2.6
Managing a Workflow
4.2.6.1
Exporting a Workflow Using the GUI
4.2.6.2
Importing a Workflow Using the GUI
4.2.6.2.1
Import Workflow
4.2.6.3
Import Requirements of a Workflow
4.2.6.4
Data Table Names
4.2.6.5
Workflow Compatibility
4.2.6.6
Building and Modifying Workflows
4.2.6.7
Missing Tables or Views
4.2.6.8
Managing Workflows using Workflow Controls
4.2.6.9
Managing Workflows and Nodes in the Properties Pane
4.2.6.10
Performing Tasks from Workflow Context Menu
4.2.7
Running a Workflow
4.2.7.1
Network Connection Interruption
4.2.7.2
Locking and Unlocking Workflows
4.2.8
Deploying Workflows
4.2.8.1
Deploying Workflows using Data Query Scripts
4.2.8.2
Deploying Workflows using Object Generation Scripts
4.2.8.3
Running Workflow Scripts
4.2.9
Workflow Script Requirements
4.2.9.1
Script File Character Set Requirements
4.2.9.2
Script Variable Definitions
4.2.9.3
Scripts Generated
4.2.9.4
Running Scripts using SQL*Plus or SQL Worksheet
4.2.10
Oracle Enterprise Manager Jobs
4.2.11
Runtime Requirements
4.3
About Nodes
4.3.1
Node Name and Node Comments
4.3.2
Node Types
4.3.3
Node States
4.4
Working with Nodes
4.4.1
Add Nodes or Create Nodes
4.4.2
Edit Nodes
4.4.2.1
Editing Nodes through Editor Dialog Box
4.4.2.2
Editing Nodes through Properties
4.4.3
Copy Nodes
4.4.4
Validate Parents
4.4.5
Run Nodes
4.4.6
Refresh Nodes
4.4.7
Link Nodes
4.4.7.1
Link Nodes in Components Pane
4.4.7.2
Node Connection Dialog Box
4.4.7.3
Connect Option in Diagram Menu
4.4.7.4
Deleting a Link
4.4.7.5
Cancelling a Link
4.4.8
Node Position
4.4.9
Performing Tasks from the Node Context Menu
4.4.9.1
Connect
4.4.9.2
Edit
4.4.9.3
Validate Parents
4.4.9.4
Run
4.4.9.5
Force Run
4.4.9.6
Deploy
4.4.9.6.1
Target Database
4.4.9.6.2
Script Directory
4.4.9.6.3
Select Script Directory
4.4.9.7
Cut
4.4.9.8
Copy
4.4.9.9
Paste
4.4.9.10
Extended Paste
4.4.9.11
Generate Apply Chain
4.4.9.12
Select All
4.4.9.13
Toolbar Actions
4.4.9.14
Show Event Log
4.4.9.15
Show Runtime Errors
4.4.9.16
Show Validation Errors
4.4.9.17
Save SQL
4.4.9.18
Go to Properties
4.4.9.19
Navigate
4.4.9.20
View Data
4.4.9.21
View Models
4.4.9.22
View Test Results
4.4.9.23
Compare Test Results
4.5
About Parallel Processing
4.5.1
Parallel Processing Use Cases
4.5.1.1
Building Models in Parallel
4.5.1.2
Making Transformation Run Faster, using Parallel Processing and Other Methods
4.5.1.3
Running Graph Node in Parallel
4.5.1.4
Running a Node in Parallel to Test Performance
4.5.2
Oracle Data Mining Support for Parallel Processing
4.6
Setting Parallel Processing for a Node or Workflow
4.6.1
Edit Selected Node Settings
4.6.2
Edit Node Parallel Settings
4.6.3
Editing Parallel Processing Preferences
5
Data Nodes
5.1
Create Table or View Node
5.1.1
Working with the Create Table or View Node
5.1.1.1
Create a Create Table or View Node
5.1.1.2
Create Table Node and Compression
5.1.1.3
Edit Create Table or View Node
5.1.1.4
Select Columns
5.1.1.5
View Create Table or View Data
5.1.1.6
Create the Table or View Context Menu
5.1.1.7
Create the Table or View Node Properties
5.1.1.7.1
Table
5.1.1.7.2
Columns
5.1.1.7.3
Automatic Behavior
5.2
Data Source Node
5.2.1
Supported Data Types for Data Source Nodes
5.2.2
Support for Date and Time Data
5.2.3
Working with the Data Source Node
5.2.3.1
Create a Data Source Node
5.2.3.1.1
Edit Schema List
5.2.3.2
Define a Data Source Node
5.2.3.3
Edit Data Guide
5.2.3.3.1
Select Data Guide
5.2.3.4
JSON Settings
5.2.3.5
Edit a Data Source Node
5.2.3.6
Running a Data Source Node
5.2.3.7
Data Source Node Context Menu
5.2.3.7.1
Select Attributes
5.2.4
Data Source Node Viewer
5.2.4.1
Data
5.2.4.1.1
Select Column to Sort By
5.2.4.2
Graph
5.2.4.3
Columns
5.2.4.4
SQL
5.2.5
Data Source Node Properties
5.2.5.1
Data
5.2.5.2
Cache
5.2.5.3
Details
5.3
Explore Data Node
5.3.1
Working with the Explore Data Node
5.3.1.1
Create an Explore Data Node
5.3.1.2
Edit the Explore Data Node
5.3.1.2.1
Input (Explore)
5.3.1.2.2
Select Attributes
5.3.1.2.3
Statistics (Explore)
5.3.1.2.4
Mode (Sampled)
5.3.1.3
Perform Tasks from the Explore Data Node Context Menu
5.3.1.4
Export Explore Node Calculations
5.3.2
Explore Data Node Data Viewer
5.3.2.1
Statistics
5.3.3
Explore Data Node Properties
5.3.3.1
Input (Properties)
5.3.3.2
Statistics (Properties)
5.3.3.3
Output
5.3.3.4
Histogram
5.3.3.5
Sample
5.4
Graph Node
5.4.1
Types of Graphs
5.4.1.1
Box Plot or Box Graph
5.4.2
Supported Data Types for Graph Nodes
5.4.3
Working with Graph Nodes
5.4.3.1
Create a Graph Node
5.4.3.2
Graph Node Context Menu
5.4.3.2.1
Running Graph Node
5.4.3.2.2
Show Graph
5.4.4
New Graph
5.4.4.1
Line or Scatter
5.4.4.2
Bar
5.4.4.3
Histogram
5.4.4.4
Box
5.4.4.5
Settings (Graph Node)
5.4.4.5.1
Select Values to Display
5.4.4.5.2
Axis Treatment
5.4.5
Graph Node Editor
5.4.5.1
Zoom Graph
5.4.5.2
Viewing Data used to Create Graph
5.4.6
Edit Graph
5.4.7
Graph Node Properties
5.4.7.1
Cache (Graph Node)
5.5
SQL Query Node
5.5.1
Input for SQL Query Node
5.5.2
SQL Query Restriction
5.5.3
Oracle R Enterprise Script Support
5.5.3.1
Oracle R Enterprise Database Roles
5.5.4
Working with SQL Query Node
5.5.4.1
Create a SQL Query Node
5.5.4.2
SQL Query Node Editor
5.5.4.3
SQL Query Node Context Menu
5.5.5
SQL Query Node Properties
5.6
Update Table Node
5.6.1
Input and Output for Update Table Node
5.6.2
Data Types for Update Table Node
5.6.3
Working with Update Table Node
5.6.3.1
Create Update Table Node
5.6.3.1.1
Update Table Node Automatic Behavior
5.6.3.2
Edit Update Table Node
5.6.3.2.1
Create Table (Update Table)
5.6.3.2.2
Select Attributes (Update Table)
5.6.3.2.3
Edit Columns (Update Table)
5.6.3.3
Update Table Node Context Menu
5.6.4
Update Table Node Data Viewer
5.6.5
Update Table Node Properties
5.6.5.1
Table (Update Table)
5.6.5.2
Columns (Update Table)
6
Using the Oracle Data Miner GUI
6.1
Graphical User Interface Overview
6.2
Oracle Data Miner Functionality in the Menu Bar
6.2.1
View Menu
6.2.1.1
Structure Window
6.2.1.1.1
Structure Window and Workflow
6.2.1.1.2
Structure Window and Model Viewers
6.2.1.1.3
Structure Window Controls
6.2.2
Tools Menu
6.2.2.1
Data Miner
6.2.2.2
Data Miner Preferences
6.2.2.2.1
Node Settings
6.2.2.2.2
Models
6.2.2.2.3
Apply
6.2.2.2.4
Model Build
6.2.2.2.5
Association
6.2.2.2.6
Classification
6.2.2.2.7
Clustering
6.2.2.2.8
Feature
6.2.2.2.9
Regression
6.2.2.2.10
Model Details
6.2.2.2.11
Test
6.2.2.2.12
Parallel Processing
6.2.2.2.13
Text
6.2.2.2.14
Transforms
6.2.2.2.15
Filter Columns
6.2.2.2.16
Filter Columns Details
6.2.2.2.17
Join
6.2.2.2.18
Sampling
6.2.2.2.19
Viewers
6.2.2.2.20
Data
6.2.2.2.21
Explore Data Viewer
6.2.2.2.22
Graphical Settings
6.2.2.2.23
Model
6.2.2.2.24
Cluster Tree
6.2.2.2.25
Tree Node
6.2.2.2.26
Decision Tree
6.2.2.2.27
Tree Node
6.2.2.2.28
Workflow Editor
6.2.2.2.29
Workflow Import/Export
6.2.2.2.30
Workflow Jobs
6.2.3
Diagram Menu
6.2.3.1
Connect
6.2.3.2
Align
6.2.3.3
Distribute
6.2.3.4
Bring to Front
6.2.3.5
Send to Back
6.2.3.6
Zoom
6.2.3.7
Publish Diagram
6.3
Workflow Jobs
6.3.1
Viewing Workflow Jobs
6.3.2
Working with Workflow Jobs
6.3.3
Workflow Jobs Grid
6.3.4
View an Event Log
6.3.4.1
Informational Messages
6.3.5
Workflow Jobs Context Menu
6.4
Projects
6.5
Miscellaneous
6.5.1
Filter
6.5.2
Import Data (Oracle Data Miner)
6.5.3
Filter Out Objects Associated with Oracle Data Mining
6.5.4
Copy Charts, Graphs, Grids, and Rules
7
Transforms Nodes
7.1
Aggregation
7.1.1
Creating Aggregate Nodes
7.1.2
Editing Aggregate Nodes
7.1.2.1
Edit Group By
7.1.2.2
Define Aggregation
7.1.2.3
Edit Aggregate Element
7.1.2.4
Add Column Aggregation
7.1.2.5
Add Custom Aggregation
7.1.3
Aggregate Node Properties
7.1.3.1
Cache
7.1.4
Aggregate Node Context Menu
7.2
Data Viewer
7.2.1
Data
7.2.1.1
Select Column to Sort By
7.2.2
Graph
7.2.3
Columns
7.2.4
SQL
7.3
Expression Builder
7.3.1
Functions
7.4
Filter Columns
7.4.1
Creating Filter Columns Node
7.4.2
Editing Filter Columns Node
7.4.2.1
Exclude Columns
7.4.2.2
Define Filter Columns Settings
7.4.2.3
Performing Tasks After Running Filter Columns Node
7.4.2.4
Columns Filter Details Report
7.4.2.5
Attribute Importance
7.4.2.5.1
Attribute Importance Viewer
7.4.2.6
Specifying Values for Attributes Importance
7.4.3
Filter Columns Node Properties
7.4.4
Filter Columns Node Context Menu
7.5
Filter Columns Details
7.5.1
Creating the Filter Columns Details Node
7.5.2
Editing the Filter Columns Details Node
7.5.3
Filter Columns Details Node Properties
7.5.4
Filter Columns Details Node Context Menu
7.6
Filter Rows
7.6.1
Creating a Filter Rows Node
7.6.2
Edit Filter Rows
7.6.2.1
Filter
7.6.2.2
Columns
7.6.3
Filter Rows Node Properties
7.6.4
Filter Rows Node Context Menu
7.7
Join
7.7.1
Create a Join Node
7.7.2
Edit a Join Node
7.7.2.1
Edit Join Node
7.7.2.2
Edit Columns
7.7.2.3
Edit Output Data Column
7.7.2.4
Resolve
7.7.3
Join Node Properties
7.7.4
Join Node Context Menu
7.8
JSON Query
7.8.1
Create JSON Query Node
7.8.2
JSON Query Node Editor
7.8.2.1
JSON
7.8.2.1.1
Structure
7.8.2.1.2
Data
7.8.2.2
Additional Output
7.8.2.2.1
Edit Output Data Column Dialog
7.8.2.3
Aggregate
7.8.2.3.1
Add Aggregations
7.8.2.3.2
Edit Sub Group By
7.8.2.3.3
Edit Group By
7.8.2.4
Preview
7.8.2.4.1
Output Columns
7.8.2.4.2
Output Data
7.8.3
JSON Query Node Properties
7.8.3.1
Output
7.8.3.2
Cache
7.8.3.3
Details
7.8.4
JSON Query Node Context Menu
7.9
Sample
7.9.1
Sample Nested Data
7.9.2
Creating a Sample Node
7.9.3
Edit Sample Node
7.9.3.1
Random
7.9.3.2
Top N
7.9.3.3
Stratified
7.9.3.4
Custom Balance
7.9.4
Sample Node Properties
7.9.5
Sample Node Context Menu
7.10
Transform
7.10.1
Transforms Overview
7.10.1.1
Binning
7.10.1.1.1
Recode
7.10.1.2
Custom
7.10.1.3
Missing Values
7.10.1.4
Normalization
7.10.1.5
Outlier
7.10.2
Support for Date and Time Data Types
7.10.3
Creating Transform Node
7.10.4
Edit Transform Node
7.10.4.1
Add Transform
7.10.4.1.1
Binning
7.10.4.1.2
Bin Equal Width (Number)
7.10.4.1.3
Bin Quantile
7.10.4.1.4
Bin Top N
7.10.4.1.5
Custom
7.10.4.1.6
Bin Assignment
7.10.4.1.7
Edit Bin
7.10.4.1.8
Add Bin
7.10.4.1.9
Missing Values
7.10.4.1.10
Normalization
7.10.4.1.11
Outlier
7.10.4.1.12
Use Existing Column
7.10.4.1.13
Add or Edit Multiple Transforms
7.10.4.2
Add Custom Transform
7.10.4.3
Apply Transform Wizard
7.10.4.3.1
Define Columns
7.10.4.4
Edit Transform
7.10.4.5
Edit Custom Transform
7.10.5
Transform Node Properties
7.10.6
Transform Node Context Menu
8
Model Nodes
8.1
Types of Models
8.2
Automatic Data Preparation (ADP)
8.2.1
Numerical Data Preparation
8.2.2
Manual Data Preparation
8.3
Data Used for Model Building
8.3.1
Viewing and Changing Data Usage
8.3.1.1
Input Tab of Build Editor
8.3.1.1.1
Automatic Input
8.3.1.1.2
Manual Input
8.3.1.2
Advanced Settings
8.3.2
Specifying Text Characteristics
8.4
Model Nodes Properties
8.4.1
Models
8.4.1.1
Output Column
8.4.1.2
Add Model
8.4.2
Build
8.4.3
Test
8.4.4
Details
8.5
Anomaly Detection Node
8.5.1
Default Behavior for Anomaly Detection Node
8.5.2
Create Anomaly Detection Node
8.5.3
Edit Anomaly Detection Node
8.5.3.1
Build (AD)
8.5.3.2
Input
8.5.4
Data for Anomaly Detection Build
8.5.5
Advanced Model Settings
8.5.6
Anomaly Detection Node Properties
8.5.6.1
Models (AD)
8.5.6.2
Output Column (AD)
8.5.6.3
Add Model (AD)
8.5.6.4
Build (AD)
8.5.7
Anomaly Detection Node Context Menu
8.6
Association Node
8.6.1
Behavior of the Association Node
8.6.2
Create Association Node
8.6.3
Edit Association Build Node
8.6.3.1
Select Columns (AR)
8.6.4
Advanced Settings for Association Node
8.6.5
Association Node Context Menu
8.6.6
Association Build Properties
8.6.6.1
Models (AR)
8.6.6.2
Add Model (AR)
8.6.6.3
Output Column (AR)
8.6.6.4
Build (AR)
8.7
Classification Node
8.7.1
Default Behavior for Classification Node
8.7.2
Create a Classification Node
8.7.3
Data for the Classification Build
8.7.4
Edit Classification Build Node
8.7.4.1
Build (Classification)
8.7.4.1.1
No Case ID
8.7.4.2
Delete Models
8.7.4.3
Add Models
8.7.4.3.1
Add Model (Classification)
8.7.5
Advanced Settings for Classification Models
8.7.6
Classification Node Properties
8.7.6.1
Classification Node Models
8.7.6.1.1
Classification Node Output Column
8.7.6.2
Classification Node Build
8.7.6.3
Classification Node Test
8.7.6.3.1
Target Values Selection
8.7.7
Classification Build Node Context Menu
8.7.7.1
View Test Results
8.7.7.2
Compare Test Results
8.8
Clustering Node
8.8.1
Default Behavior for Clustering Node
8.8.2
Create Clustering Build Node
8.8.3
Data for Clustering Build
8.8.4
Edit Clustering Build Node
8.8.4.1
Build (Clustering)
8.8.4.2
Delete Model (Clustering)
8.8.4.3
Add Model (Clustering)
8.8.5
Advanced Settings for Clustering Models
8.8.6
Clustering Build Node Properties
8.8.6.1
Models (Clustering)
8.8.6.1.1
Clustering Node Output Column
8.8.6.1.2
View Models
8.8.6.2
Build (Clustering)
8.8.7
Clustering Build Node Context Menu
8.9
Feature Extraction Node
8.9.1
Default Behavior for Feature Extraction Node
8.9.2
Create Feature Extraction Node
8.9.3
Data for Feature Extraction Build
8.9.4
Edit Feature Extraction Build Node
8.9.4.1
Build (Feature Extraction)
8.9.4.2
Add Model (Feature Extraction)
8.9.5
Advanced Settings for Feature Extraction
8.9.6
Feature Extraction Node Properties
8.9.6.1
Build (Feature Extraction)
8.9.7
Feature Extraction Node Context Menu
8.10
Model Node
8.10.1
Create a Model Node
8.10.2
Edit Model Selection
8.10.2.1
Model Constraints
8.10.3
Model Node Properties
8.10.3.1
Models (Model Node)
8.10.4
Model Node Context Menu
8.11
Model Details Node
8.11.1
Model Details Node Input and Output
8.11.2
Create Model Details Node
8.11.3
Edit Model Details Node
8.11.3.1
Edit Model Selection Details
8.11.4
Model Details Automatic Specification
8.11.4.1
Default Model and Output Type Selection
8.11.5
Model Details Node Properties
8.11.5.1
Models (Model Details)
8.11.5.2
Output (Model Details)
8.11.5.3
Cache (Model Details)
8.11.6
Model Details Node Context Menu
8.11.6.1
View Data (Model Details)
8.11.7
Model Details Per Model
8.12
Regression Node
8.12.1
Default Behavior for Regression Node
8.12.2
Create a Regression Node
8.12.3
Data for a Regression Build
8.12.4
Edit Regression Build Node
8.12.4.1
Build (Regression)
8.12.4.2
Add Model (Regression)
8.12.5
Advanced Settings for Regression Models
8.12.6
Regression Node Properties
8.12.6.1
Models (Regression)
8.12.6.1.1
Output Column
8.12.6.2
Build (Regression)
8.12.6.3
Test (Regression)
8.12.7
Regression Node Context Menu
8.13
Advanced Settings Overview
8.13.1
Upper Pane of Advanced Settings
8.13.2
Lower Pane of Advanced Settings
8.13.2.1
Data Usage
8.13.2.2
Algorithm Settings
8.13.2.3
Performance Settings
8.14
Mining Functions
8.14.1
Classification
8.14.1.1
Building Classification Models
8.14.1.2
Comparing Classification Models
8.14.1.3
Applying Classification Models
8.14.1.4
Classification Algorithms
8.14.2
Regression
8.14.2.1
Building Regression Models
8.14.2.2
Applying Regression Models
8.14.2.3
Regression Algorithms
8.14.3
Anomaly Detection
8.14.3.1
Building Anomaly Detection Models
8.14.3.2
Applying Anomaly Detection Models
8.14.4
Clustering
8.14.4.1
Using Clusters
8.14.4.2
Calculating Clusters
8.14.4.3
Algorithms for Clustering
8.14.5
Association
8.14.5.1
Transactions
8.14.6
Feature Extraction and Selection
8.14.6.1
Feature Selection
8.14.6.2
Feature Extraction
9
Evaluate and Apply Nodes
9.1
Apply Node
9.1.1
Apply Preferences
9.1.2
Apply Node Input
9.1.3
Apply Node Output
9.1.4
Creating an Apply Node
9.1.5
Apply and Output Specifications
9.1.5.1
Automatic Settings
9.1.5.2
Edit Apply Node
9.1.5.2.1
Predictions
9.1.5.2.2
Apply Functions
9.1.5.2.3
Apply Functions Parameters
9.1.5.2.4
Default Apply Column Names
9.1.5.2.5
Add or Edit Apply Output Column
9.1.5.2.6
Add Output Apply Column Dialog
9.1.5.3
Define Apply Columns Wizard
9.1.5.3.1
Models
9.1.5.3.2
Output Specifications
9.1.5.4
Additional Output
9.1.6
Evaluate and Apply Data
9.1.7
Edit Apply Node
9.1.7.1
Apply Columns
9.1.7.2
Additional Output
9.1.7.2.1
Edit Output Data Column Dialog
9.1.8
Apply Node Properties
9.1.9
Apply Node Context Menu
9.1.9.1
Apply Data Viewer
9.2
Test Node
9.2.1
Support for Testing Classification and Regression Models
9.2.2
Test Node Input
9.2.3
Automatic Settings
9.2.4
Creating a Test Node
9.2.5
Edit Test Node
9.2.5.1
Selected Models
9.2.5.2
Select Model
9.2.6
Compare Test Results Viewer
9.2.7
Test Node Properties
9.2.7.1
Models
9.2.7.2
Test
9.2.7.2.1
Target Values Selection
9.2.8
Test Node Context Menu
10
Predictive Query Nodes
10.1
Anomaly Detection Query
10.1.1
Create an Anomaly Detection Query Node
10.1.2
Edit an Anomaly Detection Query
10.1.2.1
Edit Anomaly Prediction Output
10.1.2.2
Add Anomaly Function
10.1.2.3
Edit Anomaly Function Dialog
10.1.3
Anomaly Detection Query Properties
10.1.3.1
Anomaly Predictions
10.1.3.2
Additional Output (Anomaly Query)
10.1.4
Anomaly Detection Query Context Menu
10.2
Clustering Query
10.2.1
Create a Clustering Query
10.2.2
Edit a Clustering Query
10.2.2.1
Edit Cluster Prediction Outputs
10.2.2.2
Add Cluster Function
10.2.2.3
Edit Cluster Function
10.2.3
Clustering Query Properties
10.2.3.1
Cluster Predictions
10.2.3.2
Additional Output (Clustering Query)
10.2.4
Clustering Query Context Menu
10.3
Feature Extraction Query
10.3.1
Create a Feature Extraction Query
10.3.2
Edit Feature Extraction Query
10.3.2.1
Edit Feature Prediction Outputs
10.3.2.2
Add Feature Function
10.3.2.3
Edit Feature Function
10.3.3
Feature Extraction Query Properties
10.3.3.1
Feature Predictions
10.3.3.2
Additional Output (Feature Extraction Query)
10.3.4
Feature Extraction Query Context Menu
10.4
Prediction Query
10.4.1
Create a Prediction Query
10.4.2
Edit a Prediction Query
10.4.2.1
Add Target
10.4.2.2
Add Partitioning Columns
10.4.2.2.1
Add Partitioning Expressions
10.4.2.3
Edit Prediction Output
10.4.2.3.1
Add Prediction Output Function
10.4.2.3.2
Edit Prediction Function Dialog
10.4.2.4
Modify Input
10.4.2.4.1
View Heuristic Results Details
10.4.2.5
Add Additional Output
10.4.2.5.1
Add Supplemental Dialog
10.4.3
Run Predictive Query Node
10.4.4
View Data for a Predictive Query
10.4.4.1
View Prediction Details
10.4.5
Prediction Query Properties
10.4.5.1
Predictions (Prediction Query)
10.4.5.2
Partition
10.4.5.3
Additional Output (Prediction Query)
10.4.6
Prediction Query Node Context Menu
11
Text Nodes
11.1
Oracle Text Concepts
11.2
Text Mining in Oracle Data Mining
11.2.1
Data Preparation for Text
11.2.1.1
Text Processing in Oracle Data Mining 12
c
Release 1 (12.1)
11.2.1.2
Text Processing in Oracle Data Mining 11
g
Release 2 (11.2) and Earlier
11.3
Apply Text Node
11.3.1
Default Behavior for the Apply Text Node
11.3.2
Create an Apply Text Node
11.3.3
Edit Apply Text Node
11.3.3.1
View the Text Transform (Apply)
11.3.4
Apply Text Node Properties
11.3.4.1
Transforms
11.3.4.2
Details
11.3.5
Apply Text Node Context Menu
11.4
Build Text
11.4.1
Default Behavior for the Build Text Node
11.4.2
Create Build Text Node
11.4.3
Edit Build Text Node
11.4.3.1
View the Text Transform
11.4.3.2
Add/Edit Text Transform
11.4.3.3
Stoplist Editor
11.4.3.3.1
New Stoplist Editor
11.4.3.3.2
Stoplist Definition
11.4.3.3.3
Review
11.4.3.3.4
Add Stopwords/Stopthemes
11.4.4
Build Text Node Properties
11.4.4.1
Transforms
11.4.5
Build Text Node Context Menu
11.5
Text Reference
11.5.1
Create a Text Reference Node
11.5.2
Edit Text Reference Node
11.5.2.1
Select Build Text Node
11.5.3
Text Reference Node Properties
11.5.3.1
Transforms
11.5.4
Text Reference Node Context Menu
12
Testing and Tuning Models
12.1
Testing Classification Models
12.1.1
Test Metrics for Classification Models
12.1.1.1
Performance
12.1.1.1.1
Predictive Confidence
12.1.1.1.2
Average Accuracy
12.1.1.1.3
Overall Accuracy
12.1.1.1.4
Cost
12.1.1.2
Performance Matrix
12.1.1.3
Receiver Operating Characteristics (ROC)
12.1.1.3.1
How to Use ROC
12.1.1.4
Lift
12.1.1.5
Profit and ROI
12.1.1.5.1
Profit and ROI Example
12.1.1.5.2
Profit and ROI Use Case
12.1.2
Classification Model Test and Results Viewers
12.1.2.1
Classification Model Test Viewer
12.1.2.1.1
Performance
12.1.2.1.2
Performance Matrix
12.1.2.1.3
Show Detail
12.1.2.1.4
Compare Models
12.1.2.1.5
ROC
12.1.2.1.6
Edit Test Result Selection
12.1.2.1.7
ROC Detail Dialog
12.1.2.1.8
Lift
12.1.2.1.9
Lift Detail
12.1.2.1.10
Profit
12.1.2.1.11
Profit Detail Dialog
12.1.2.1.12
Profit Setting Dialog
12.1.2.2
Compare Classification Test Results
12.1.2.2.1
Compare Test Results
12.1.2.2.2
Edit Test Selection (Classification and Regression)
12.2
Tuning Classification Models
12.2.1
Remove Tuning
12.2.2
Cost
12.2.2.1
Costs and Benefits
12.2.2.1.1
Costs
12.2.2.1.2
Benefits
12.2.3
Benefit
12.2.4
ROC
12.2.4.1
ROC Tuning Steps
12.2.4.1.1
Select Custom Operating Point
12.2.4.2
Receiver Operating Characteristics
12.2.5
Lift
12.2.5.1
About Lift
12.2.6
Profit
12.2.6.1
Profit Setting
12.2.6.2
Profit
12.3
Testing Regression Models
12.3.1
Residual Plot
12.3.2
Regression Statistics
12.3.3
Regression Model Test Viewers
12.3.3.1
Regression Model Test Viewer
12.3.3.1.1
Performance (Regression)
12.3.3.1.2
Residual
12.3.3.2
Compare Regression Test Results
12.3.3.2.1
Compare Test Results
13
Data Mining Algorithms
13.1
Anomaly Detection
13.1.1
Applying Anomaly Detection Models
13.1.2
Anomaly Detection Viewers and Algorithm Settings
13.1.2.1
Anomaly Detection Model Viewer
13.1.2.1.1
AD Model Viewer for Gaussian Kernel
13.1.2.1.2
Settings (AD)
13.1.2.1.3
Summary (AD)
13.1.2.1.4
Input (AD)
13.1.2.1.5
Anomaly Detection Algorithm Settings
13.1.2.1.6
AD Model Viewer for Linear Kernel
13.1.2.2
Algorithm Settings for AD
13.1.2.2.1
AD Algorithm Settings for Linear or System Determined Kernel
13.1.2.2.2
AD Algorithm Settings for Gaussian Kernel
13.1.2.2.3
Rate of Outliers
13.2
Association
13.2.1
Calculating Associations
13.2.1.1
Itemsets
13.2.1.2
Association Rules
13.2.2
Data for AR Models
13.2.2.1
Support for Text (AR)
13.2.3
Troubleshooting AR Models
13.2.3.1
Algorithm Settings for AR
13.2.4
AR Model Viewers and Algorithm Settings
13.2.4.1
AR Model Viewer
13.2.4.1.1
AR Rules
13.2.4.1.2
AR Rules Grid
13.2.4.1.3
AR Rules Display
13.2.4.1.4
Lift for AR Rules
13.2.4.1.5
Confidence for AR Rules
13.2.4.1.6
Support for AR Rules
13.2.4.1.7
Rule Details
13.2.4.1.8
Sorting
13.2.4.1.9
Filtering
13.2.4.1.10
Item Filters
13.2.4.1.11
Add Item Filter
13.2.4.1.12
Itemsets
13.2.4.1.13
Itemsets Display
13.2.4.1.14
Itemset Details
13.2.4.1.15
Settings (AR))
13.2.4.1.16
Summary
13.2.4.1.17
Algorithm Settings
13.3
Decision Tree
13.3.1
Decision Tree Algorithm
13.3.1.1
Decision Tree Rules
13.3.2
Build, Test, and Apply Decision Tree Models
13.3.3
Decision Tree Model Viewer and Algorithm Settings
13.3.3.1
Decision Tree Model Viewer
13.3.3.1.1
Save Rules
13.3.3.1.2
Settings (DT)
13.3.3.1.3
DT Summary
13.3.3.1.4
DT Inputs
13.3.3.1.5
DT Target Values
13.3.3.2
Decision Tree Algorithm Settings
13.4
Expectation Maximization
13.4.1
Build and Apply an EM Model
13.4.2
EM Model Viewer and Algorithm Settings
13.4.2.1
EM Model Viewer
13.4.2.1.1
EM Component
13.4.2.1.2
EM Details
13.4.2.2
EM Algorithm Settings
13.4.2.2.1
EM Data Preparation and Analysis Settings
13.5
Generalized Linear Models
13.5.1
Generalized Linear Models Overview
13.5.1.1
Linear Regression
13.5.1.2
Logistic Regression
13.5.1.3
Data Preparation for GLM
13.5.2
GLM Classification Models
13.5.3
GLM Regression Models
13.5.4
GLM Model Viewers and Algorithm Settings
13.5.4.1
GLM Classification Model Viewer
13.5.4.1.1
GLMC Details
13.5.4.1.2
GLMC Coefficients
13.5.4.1.3
Sort and Search GLMC Coefficients
13.5.4.1.4
GLMC Compare
13.5.4.1.5
GLMC Diagnostics
13.5.4.1.6
GLMC Settings
13.5.4.1.7
GLMC Data Usage:
13.5.4.1.8
GLMC Summary
13.5.4.1.9
GLMC Inputs
13.5.4.1.10
GLMC Target Values
13.5.4.2
GLM Classification Algorithm Settings
13.5.4.2.1
Feature Selection Option Dialog
13.5.4.2.2
Choose Reference Value (GLMC)
13.5.4.2.3
Ridge Regression Option Dialog (GLMC)
13.5.4.3
GLM Regression Model Viewer
13.5.4.3.1
GLMR Coefficients
13.5.4.3.2
GLMR Details
13.5.4.3.3
GLMR Diagnostics
13.5.4.3.4
GLMR Settings
13.5.4.3.5
GLMR Summary
13.5.4.3.6
GLMR Inputs
13.5.4.4
GLM Regression Algorithm Settings
13.5.4.4.1
Ridge Regression Option Dialog (GLMR)
13.5.4.4.2
Choose Reference Value (GLMR)
13.6
k-Means
13.6.1
k-Means Algorithm
13.6.2
KM Model Viewer and Algorithm Settings
13.6.2.1
KM Model Viewer
13.6.2.1.1
EM, KM, and OC Tree
13.6.2.1.2
Cluster (Viewer)
13.6.2.1.3
EM, KM, and OC Compare
13.6.2.1.4
Compare Cluster with Population
13.6.2.1.5
Missing Histograms in a Cluster
13.6.2.1.6
Rename Cluster
13.6.2.1.7
KM Settings
13.6.2.1.8
Cluster Model Settings (Viewer)
13.6.2.1.9
Cluster Model Summary
13.6.2.1.10
Cluster Model Input
13.6.2.2
KM Algorithm Settings
13.7
Naive Bayes
13.7.1
Naive Bayes Algorithm
13.7.1.1
Advantages of Naive Bayes
13.7.2
Naive Bayes Viewers and Algorithm Settings
13.7.2.1
Naive Bayes Model Viewer
13.7.2.1.1
Probabilities (NB)
13.7.2.1.2
Grid
13.7.2.1.3
Fetch Size
13.7.2.1.4
Grid Filter
13.7.2.1.5
Compare (NB)
13.7.2.1.6
Settings (NB)
13.7.2.1.7
Settings (NB)
13.7.2.1.8
Summary (NB)
13.7.2.1.9
Naive Bayes Algorithm Settings
13.7.2.1.10
Input (NB)
13.7.2.1.11
Weights (NB)
13.7.2.1.12
Target Values (NB)
13.7.2.2
Naive Bayes Test Viewer
13.8
Nonnegative Matrix Factorization
13.8.1
Using Nonnegative Matrix Factorization
13.8.2
How Does Nonnegative Matrix Factorization Work
13.8.3
NMF Model Viewer and Algorithm Settings
13.8.3.1
NMF Model Viewer
13.8.3.1.1
Coefficients (NMF)
13.8.3.1.2
Rename (NMF)
13.8.3.1.3
Filter (NMF)
13.8.3.1.4
Settings (NMF)
13.8.3.1.5
Summary (NMF)
13.8.3.1.6
Inputs (NMF)
13.8.3.2
NMF Algorithm Settings
13.9
Orthogonal Partitioning Clustering
13.9.1
O-Cluster Algorithm
13.9.2
OC Model Viewer and Algorithm Settings
13.9.2.1
OC Model Viewer
13.9.2.1.1
Detail (OC)
13.9.2.1.2
Settings (OC)
13.9.2.1.3
Summary (OC)
13.9.2.1.4
Inputs (OC)
13.9.2.2
OC Algorithm Settings
13.10
Singular Value Decomposition and Principal Components Analysis
13.10.1
Build and Apply SVD and PCA Models
13.10.2
PCA Model Viewer and Algorithm Settings
13.10.2.1
PCA Model Viewer
13.10.2.1.1
Coefficients (PCA)
13.10.2.1.2
Rename (PCA)
13.10.2.1.3
Filter (PCA)
13.10.2.1.4
PCA Scree Plot
13.10.2.1.5
PCA Details
13.10.2.1.6
Settings (PCA)
13.10.2.1.7
Summary (PCA)
13.10.2.1.8
Inputs (PCA)
13.10.2.2
PCA Algorithm Settings
13.10.3
SVD Model Viewer and Algorithm Settings
13.10.3.1
SVD Model Viewer
13.10.3.1.1
Coefficients (SVD)
13.10.3.1.2
Rename (SVD)
13.10.3.1.3
Filter (SVD)
13.10.3.1.4
SVD Singular Values
13.10.3.1.5
SVD Details
13.10.3.1.6
Settings (SVD)
13.10.3.1.7
Summary (SVD)
13.10.3.1.8
Inputs (SVD)
13.10.3.2
SVD Algorithm Settings
13.11
Support Vector Machine
13.11.1
Support Vector Machine Algorithms
13.11.1.1
How Support Vector Machines Work
13.11.1.2
SVM Kernel Functions
13.11.2
Building and Testing SVM Models
13.11.2.1
SVM Classification Models
13.11.2.1.1
SVM Weights
13.11.2.2
SVM Regression Models
13.11.2.3
SVM Anomaly Detection Models
13.11.3
Applying SVM Models
13.11.3.1
Applying One-Class SVM Models
13.11.4
SVM Model Viewers and Algorithm Settings
13.11.4.1
SVM Classification Model Viewer
13.11.4.1.1
SVMC Model Viewer for Models with Linear Kernel
13.11.4.1.2
SVMC Model Viewer for Models with Gaussian Kernel
13.11.4.1.3
Coefficients (SVMC Linear)
13.11.4.1.4
Coefficients Grid (SVMC)
13.11.4.1.5
Compare (SVMC Linear)
13.11.4.1.6
Search
13.11.4.1.7
Propensity
13.11.4.1.8
Settings (SVMC)
13.11.4.1.9
Summary (SVMC)
13.11.4.1.10
Settings (SVMC Linear)
13.11.4.1.11
Inputs (SVMC)
13.11.4.1.12
Target Values (SVMC)
13.11.4.1.13
Weights (SVMC)
13.11.4.1.14
Algorithm Settings for SVMC
13.11.4.2
SVM Classification Test Viewer
13.11.4.3
SVM Classification Algorithm Settings
13.11.4.3.1
Algorithm Settings for Linear or System Determined Kernel (SVMC)
13.11.4.3.2
Algorithm Settings for Gaussian Kernel (SVMC)
13.11.4.4
SVM Regression Model Viewer
13.11.4.4.1
SVMR Model Viewer for Models with Linear Kernel
13.11.4.4.2
SVMR Model Viewer for Models with Gaussian Kernel
13.11.4.4.3
Coefficients (SVMR)
13.11.4.4.4
SVMR Coefficients Grid
13.11.4.4.5
Inputs (SVMR)
13.11.4.4.6
Settings (SVMR)
13.11.4.4.7
Summary (SVMR)
13.11.4.5
SVM Regression Test Viewer
13.11.4.6
SVM Regression Algorithm Settings
13.11.4.6.1
Algorithm Settings for Linear or System Determined Kernel (SVMR)
13.11.4.6.2
Algorithm Settings for Gaussian Kernel (SVMR)
13.11.4.6.3
Active Learning
13.11.4.6.4
Automatic Data Preparation
13.11.4.6.5
Cache Size (Gaussian Kernel)
13.11.4.6.6
Complexity Factor
13.11.4.6.7
Standard Deviation (Gaussian Kernel)
13.11.4.6.8
Tolerance Value
13.12
Settings Information
13.12.1
General Settings
13.12.2
Other Settings
13.12.3
Epsilon Value
Index
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