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Oracle Data Mining

Know More, Do More, Spend Less

Oracle Data Mining (ODM)—an option to Oracle Database 10g Enterprise Edition—enables you to produce actionable predictive information and build integrated business intelligence applications. Using data mining functionality embedded in Oracle Database 10g, you can find patterns and insights hidden in your data. Application developers and integrators can quickly automate the distribution of new business intelligence—predictions, patterns and discoveries—throughout your organization.

Oracle Data Mining enables business decision makers, data analysts, integrators, and IT to extract greater value from corporate data resulting in better informed business decisions that address a wide range of business problems. Oracle Data Mining provides in-Database predictive analytics brilliantly described in the Harvard Business Review (HBR) article Competing on Analytics.

New  Oracle Data Mining Powers New Social CRM Application

How Oracle Data Mining can benefit you...

Business Decision Makers
Make better informed business decisions with increased productivity to increase revenue and reduce costs. Derive greater value from your database and data warehouse investment. More...		 Data Analysts
Solve more business problems faster, while enabling faster deployment of your results. More... 		Integrators and IT
Speed time-to-market through immediate deployment, rapid prototyping and API-level integration. More...
General Information
New Overview: Oracle Data Mining 11g (pdf) 10gR2 (ppt zip)
New Data Sheet: Oracle Data Mining 11g (pdf) 10gR2 (pdf)
New White paper: Oracle Data Mining 11g (pdf) 10gR2 (pdf)
Presentation: Oracle OpenWorld - Predictive Analytics with ODM and OBI EE (pdf)
White paper: High Performance Scoring with Oracle 10.2 Data Mining (pdf)
White paper: Secure Data Mining in Oracle10g (pdf)
Using Decision Trees to Solve Business problems with Oracle Data Mining 10g (pdf)
Customer Application: Xerox (zip)
Technical Information
New Performance Improvement of Model Building in Oracle 11.1 Data Mining (paper)
Data-Centric Automated Data Mining (paper, slides)
Mining High-Dimensional Data for Information Fusion (paper, slides)
DSS Performance in Oracle Database 10g Release 2 (paper, pg. 16)
Support Vector Machines in Oracle Database 10g (paper, slides)
Implementing Support Vector Machines in an RDBMS: Improved Scalability and Usability (slides)
Data Mining-Based Intrusion Detection (paper)
Clustering Large Databases with Numeric and Nominal Values Using Orthogonal Projections (paper)
Oracle9i O-Cluster: Scalable Clustering of Large High Dimensional Data Sets (paper)
Crime Pattern Detection Using Data Mining (paper)
 
 
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2nd Annual BIWA Summit
Dec. 2-3, 2008!
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 · Hold the date ...
for Dec. 2-3, 2008 at Oracle HQ, Redwood Shores, CA.
 · Learn with...
Keynotes, Technical Talks, Hands On Workshops, and much more.

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Learn More
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 · Getting Started with
   Oracle Data Mining
 · Frequently Asked Questions
 · Customer Successes
 · Oracle Data Miner
 · Oracle 9i Data Mining for Java
 · ODM JDeveloper Extension
 · ODM in the News
 · Demonstrations
 · Industry Solutions
 · Analyst Reviews
 · Standards: JSR-73, JSR-247, PMML
 · Spreadsheet Add-In for
   Predictive Analytics
 · ODM Connector 2.1 for
   mySAP NetWeaver
 · ODM at Oracle OpenWorld


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Resources
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 · Join! Oracle BIWA
View BIWA Summit 2007 presentations
 · ODM RSS News Feed RSS
 · Documentation
10gR1, 10gR2, 11gR1
 · Sample Code
 · Discussion Forum
 · Recommended Reading and Blogs
 · Join Mailing List
 · Oracle Wiki, Wikipedia


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Related Technologies
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 · Oracle BI Home
 · Oracle BI DW Technology Center
 · Oracle BI Retail Accelerator
 · Oracle Statistical Functions
 · OracleBI Discoverer
 · OracleBI Spreadsheet Add-In
·
 Oracle Warehouse Builder
 · Oracle Database BI Features
 · Oracle OLAP
·
 Oracle JDeveloper
·
 Oracle Text


 
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