PMML describes DM models in the Extensible Markup Language (XML), which is the universal
format for structured documents and data on the Web designed by W3C group (http://www.w3c.org).
Why is it important to define XML specification for data mining models?
In complex tasks, various tools have to be applied and they have to interchange their results.
This has to be supported by an open data format. The Data Mining Group DMG members defined
for that purpose the Predictive Model Markup Language (PMML). PMML provides the XML
specification for several kinds of data mining models and it can be further enhanced
in such a way that it is no more constrained to predictive models, only.
The Data Mining tool Kepler (also known as D-Miner, by the former project partner Dialogis) is able to import and export data mining model in the PMML format. The following two documents describe how the PMML capability is integrated into Kepler (PDF, PowerPoint).
You may also want to look at some examples of the visualization of decision tree models that were exported from IBM's intelligent miner and Kepler in the PMML format. Please be aware that the visualization Applet uses Java 1.3, you may need to download and install the browser plug-in first.