List of Examples

• 1-1 Predict Attrition for Customer Segments
• 1-2 Predict Customer Attrition and Transform Missing Income Values
• 1-3 Generate a Customer Profile
• 3-1 Sample Case Table
• 3-2 ALL_MINING_MODEL_ATTRIBUTES
• 3-3 Model Attributes Derived from a Nested Column
• 3-4 Model Details for an Attribute Importance Model
• 3-5 Product Sales per Region in Multi-Record Case Format
• 3-6 Product Sales per Region in Single-Record Case Format
• 3-7 Model Attributes Derived From SALES_PER_REGION
• 3-8 Convert to a Nested Column
• 5-1 Create a Settings Table
• 5-2 ALL_MINING_MODEL_SETTINGS
• 5-3 ALL_MINING_MODELS
• 6-1 Real-Time Query with Prediction Probability
• 6-2 Anomaly Detection with DBMS_DATA_MINING.APPLY
• 7-1 Oracle JDM Extension Method getObjectNames
• 7-2 Creation of a Physical Dataset
• 7-3 Creation of a Classification Settings with Decision Tree Algorithm
• 7-4 Building Mining Task Workflows
• 7-5 Building a Model
• 7-6 Retrieve Model Details
• 7-7 Testing a Model
• 7-8 Applying a Model
• 7-9 Creating a Cost Matrix
• 7-10 Creating Prior Probabilities
• 7-11 Simple Expression Transformation
• 7-12 Complex Sequence Transformations
• 7-13 Predictive Analytics