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Oracle Warehouses Love Clementine

The hottest third-party data warehouse vendor (this week) is the time-tested SPSS.  Many people have used SPSS (Statistical Package for the Social Sciences) in College classes, but SPSS is now taking-on rival SAS with packages for Oracle data warehousing:


SPSS Clementine is a Data Mining workbench for Oracle.  Because of the sophistication (multivariate chi-square statistics), Oracle data mining is one of the most challenging (and highly paid) areas of Oracle technology.


Predictive modeling is a giant statistical chore and one that Clementine is design to make easier for the Oracle professional.


Clementine 9.0 will enable analysts to use the Clementine interface to build, browse and score models in the Oracle Database 10g using techniques available with Oracle Data Mining. Oracle Data Mining algorithms, including Na´ve Bayes, Adaptive Bayes Network and Support Vector Machines, appear as nodes in the Clementine interface. These techniques can be used just like any other techniques that are native in Clementine.


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Note: This Oracle documentation was created as a support and Oracle training reference for use by our DBA performance tuning consulting professionals.  Feel free to ask questions on our Oracle forum.

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