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SPSS' new Clementine 9.0 supports predictive modeling Oracle Data Mining.


SPSS A statistical package from SPSS, Inc., Chicago (www.spss.com) that runs on PCs, most mainframes and minis and is used extensively in marketing research. It provides over 50 statistical processes, including regression analysis, correlation and analysis of variance.  Inc.'s latest version of its data mining workbench, Clementine Clementine

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 9.0, leverages the analytics software/solutions provider's open, standards-based architecture to offer explicit integration with Oracle's Database 10g. Oracle Database 10g supports predictive modeling with Oracle Data Mining, enabling the building and scoring of models directly within the database.

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"To access, build and deploy models provided by Oracle 10g See Oracle database.  will enable analysts more manageability, higher efficiency and greater productivity," SPSS Senior Product Manager Peter Caron said.

Clementine 9.0 provides analysts with the ability to use the Clementine interface to build, browse (1) To view the contents of a file or a group of files. Browser programs generally let you view data by scrolling through the documents or databases. In a database program, the browse mode often lets you edit the data. See Web browser.  and score models in the Oracle Database 10g, using techniques available with Oracle Data Mining. Oracle Data Mining algorithms, including Naive Bayes, Adaptive Bayes Network and Support Vector Machines This article or section may be confusing or unclear for some readers.
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, appear as nodes in the Clementine interface. These techniques can be used like any other techniques that are native in Clementine.

Clementine 9.0 is now available.

www.spss.com
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Copyright 2005, Gale Group. All rights reserved. Gale Group is a Thomson Corporation Company.

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Publication:Customer Interaction Solutions
Article Type:Brief Article
Geographic Code:1USA
Date:Feb 1, 2005
Words:155
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