Integrate IBM InfoSphere Warehouse data mining with IBM Cognos reporting, Part 2, Deviation detection with InfoSphere Warehouse and Cognos

Disseminate your data mining results effectively

From the developerWorks archives

Benjamin Leonhardi, Christoph Sieb, and Dr. Michael Wurst

Date archived: January 13, 2017 | First published: November 26, 2008

In the previous installment of this series you learned how to visualize simple data mining results in IBM® Cognos®. In this article, learn some advanced techniques, such as drill-down and the extraction of structured information from data mining models with Cognos. Using the included business scenario and running example, understand the data mining task of deviation detection, that is, the task of identifying unnatural data records. See how to find such records with IBM InfoSphere™ Warehouse data mining, and create interactive reports that allow interactive exploration.

This content is no longer being updated or maintained. The full article is provided "as is" in a PDF file. Given the rapid evolution of technology, some steps and illustrations may have changed.



static.content.url=http://www.ibm.com/developerworks/js/artrating/
SITE_ID=1
Zone=Big data and analytics, Information Management
ArticleID=354837
ArticleTitle=Integrate IBM InfoSphere Warehouse data mining with IBM Cognos reporting, Part 2: Deviation detection with InfoSphere Warehouse and Cognos
publish-date=11262008