Oracle Database 19c: Data Mining Techniques

• Create a User Account for Data Miner in the database.
• Create a Data Miner User Connection.
• Install the Data Miner Repository.
• Create a Data Miner Project and Workflow.
• Create Classification Models.
• Create Regression Models.
• Create Clustering Models.
• View Model Results and Apply the Model.
• Create an Association Rules Model.
• Modify Source Data and rebuild the model.
• Apply Model Rule Filters.
• Create an Anomaly Detection Model.

1: Introduction

2: Data Mining Concepts and Terminology

3: The Data Mining Process

4: Introducing Oracle Data Miner

5: Using Classification Models

6: Using Regression Models

7: Using Clustering Models

8: Performing Market Basket Analysis

9: Performing Anomaly Detection

10: Deploying Data Mining Results

2 Days

Course Completion Certificate by Network Binary

• Create a User Account for Data Miner in Your Database
• Create a Data Miner User Connection
• Install the Data Miner Repository
• Create a Data Miner Project and Workflow
• Create Classification Models
• Create Regression Models
• Create Clustering Models
• View Model Results and Apply the Model
• Create an Association Rules Model
• Modify the Source Data and Rebuild the Model
• Apply Model Rule Filters
• Create an Anomaly Detection Model

• Application Developers
• Business Analysts
• Data Warehouse Analysts
• Database Administrators

• SQL language
• Oracle Database design
• Oracle Database administration