United StatesChange Country, Oracle Worldwide Web Sites Communities I am a... I want to...

ODM logo

Oracle Data Mining

Powering Next-Generation Predictive Applications


Technical & General Info   Learn More  Oracle by Example Tutorials

Update
The latest version of Oracle Data Miner is now available in  SQL Developer Release 3.1 Early Adopter.

Oracle Data Mining (ODM) —an option to Oracle Database 11g Enterprise Edition—enables you to easily build and deploy next-generation applications that deliver predictive analytics and new insights. Application developers can rapidly build next-generation applications using ODM's SQL APIs that automatically mine Oracle data and deploy results in real-time-throughout the enterprise. Because the data, models and results remain in the Oracle Database, data movement is eliminated, security is maximized and information latency is minimized. Oracle Data Mining models can be included in SQL queries and embedded in applications to offer improved business intelligence.

Data analysts can quickly access their Oracle data using Oracle Data Miner 11g Release 2 graphical user interface and explore their data to find patterns, relationships, and hidden insights. Oracle Data Mining provides a collection of in-database data mining algorithms that solve a wide range of business problems. Anyone who can access data stored in an Oracle Database can access Oracle Data Mining results-predictions, recommendations, and discoveries using Oracle Business Intelligence Solutions.

Oracle Data Miner 11g Release 2

The free Oracle Data Miner GUI is an extension to Oracle SQL Developer 3.0 that enables data analysts to work directly with data inside the database, explore the data graphically, build and evaluate multiple data mining models, apply Oracle Data Mining models to new data and deploy Oracle Data Mining's predictions and insights throughout the enterprise. Oracle Data Miner work flows capture and document the user's analytical methodology and can be saved and shared with others to automate advanced analytical methodologies.

 
Oracle Data Miner work flows capture, document and automate
the in-database predictive analytics process.
 
General Information
 New Presentation: Oracle In-Database Analytics - Oracle OpenWorld 2011 (pdf)
 New White Paper: Using Oracle Data Miner 11g Release 2 with Star Schema data - A Telco Churn Case Study (pdf)
 New Data Sheet: Oracle Data Mining 11gR2 
 New White paper: Oracle Data Mining 11gR2
 Presentation: Anomaly and Fraud Detection with Oracle Data Mining 11gR2
 Techcast: ODM overview and several demos
 White paper: High Performance Scoring with Oracle 10.2 Data Mining ( pdf)
 White paper: Secure Data Mining in Oracle10g ( pdf)
 Sample Data Mining Use Cases
  Customer Successes
Technical Information
 Data Mining Algorithms
 Performance Improvement of Model Building in Oracle 11.1 Data Mining (paper)
 Data-Centric Automated Data Mining (paper)
 Mining High-Dimensional Data for Information Fusion (paper)
 DSS Performance in Oracle Database 10g Release 2 (paper)
 Support Vector Machines in Oracle Database 10g (paper)
 Data Mining-Based Intrusion Detection (paper)
 Clustering Large Databases with Numeric and Nominal Values Using Orthogonal Projections (paper)
 


   Discussion Forum    Oracle Data Mining Blog
   Oracle By Example Tutorials    Oracle Data Mining on Twitter
   Spreadsheet Add-In for
   Predictive Analytics
 
  Wikipedia
Entry
  Documentation   Sample Programs
 

R Interface to Oracle Data Mining
 
BIWA - the Oracle BI, Data Warehousing and Analytics SIG. Join Today!


Oracle Fusion HCM
Oracle Fusion CRM
 Oracle Spend Classification
 Oracle Sales Prospector
 
 
 
 
Oracle Adaptive Access Manager
Oracle Communications Data Model
Oracle Retail Data Model
Oracle Security Governor for Healthcare
 
   
Oracle BI Home
Oracle Database BI Features
 SQL Developer
 

 
 
 
 
Oracle BI DW Technology Center
Oracle Statistical Functions
Oracle OLAP
 
 
Left Curve
Popular Downloads
Right Curve
Untitled Document
Left Curve
More Database Downloads
Right Curve
opc-button