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CRUISE Classification Tree - http://www.stat.wisc.edu/~loh/cruise.html
CRUISE is a statistical decision tree algorithm for classification. It is an improved descendant of an older algorithm called FACT. |
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Decision Tree Forests - http://www.dtreg.com/treeforest.htm
DTREG generates a Decision Tree Forest that is an ensemble (collection) of decision trees whose predictions are combined to make the overall prediction for the forest. |
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Decision Tree Primer - http://www.public.asu.edu/~kirkwood/DAStuff/decisiontrees/
Presents methods for analyzing decision trees, including exercises with solutions. |
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Meta Decision Trees - http://ai.ijs.si/bernard/mdts/
Meta Decision Trees are a novel method for combining multiple classifiers. MDT leaves specify which base-level classifier should be used, instead of predicting the class value directly. |
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Decision Trees Tutorial - http://www.autonlab.org/tutorials/dtree.html
Tutorial Slides by Andrew Moore. A self-contained introduction to the flavor and terminology of data mining. |