Predictive Analytics Using Oracle Data Miner: Develop & Use Data Mining Models in Oracle Data Miner, SQL & PL/SQL

  • 5h 51m
  • Brendan Tierney
  • Oracle Press
  • 2014

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

About the Author

Brendan Tierney, Oracle ACE Director (Dublin, Ireland), an independent consultant, lectures on data mining and advanced databases at the Dublin Institute of Technology.

In this Book

  • Oracle Data Miner
  • The Predictive Modeling Lifecycle
  • How to Install, Set Up, and Get Started
  • ODM Menus, Projects, and Workflows
  • Exploring Your Data
  • Data Preparation
  • Association Rule Analysis
  • Classification
  • Clustering
  • Regression
  • Anomaly Detection
  • The ODM Data Dictionary, SQL, and PL/SQL Packages
  • Data Preparation
  • Association Rule Analysis
  • Classification
  • Clustering
  • Regression
  • Anomaly Detection
  • How to Migrate Your ODM Models
  • Implementation-Related Topics
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