Predictive Analytics Using Oracle Data Miner

Build Next-Generation In-Database Predictive Analytics Applications with Oracle Data Miner

Perform in-database data mining to unlock hidden insights in data. Written by an Oracle ACE Director, Predictive Analytics Using Oracle Data Miner shows you how to use this powerful tool to create and deploy advanced data mining models. Covering topics for the data scientist, Oracle developer, and Oracle database administrator, this Oracle Press guide shows you how to get started with Oracle Data Miner and build Oracle Data Miner models using SQL and PL/SQL packages. You'll get best practices for integrating your Oracle Data Miner models into applications to automate the discovery and distribution of business intelligence predictions throughout the enterprise.


Install and configure Oracle Data Miner for Oracle Database 11g Release 11.2 and Oracle Database 12c
Create Oracle Data Miner projects and workflows
Prepare data for data mining
Develop data mining models using association rule analysis, classification, clustering, regression, and anomaly detection
Use data dictionary views and prepare your data using in-database transformations
Build and use data mining models using SQL and PL/SQL packages
Migrate your Oracle Data Miner models, integrate them into dashboards and applications, and run them in parallel
Build transient data mining models with the Predictive Queries feature in Oracle Database 12c