Clustering vs. DecisionTrees: Comparison between the "bottom up" hierarchical clustering approach and "top down" splitting as used in decision tree segmentation.
CRUISE Classification Tree: CRUISE is a statistical decision tree algorithm for classification. It is an improved descendant of an older algorithm called FACT.
Decision Rings: Making Decision Trees Visual & non-Mathematical: This paper presents an alternative way of representing and solving the decision tree for nontechnical audiences.
Decision Tree Analysis Using ODBCMine: ODBCMine generates decision trees from ODBC databases using the C4.5 data-mining algorithm.
Decision Tree Forests: 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.
Decision Tree Primer: Presents methods for analyzing decision trees, including exercises with solutions.
Decision Trees Tutorial: Tutorial Slides by Andrew Moore. A self-contained introduction to the flavor and terminology of data mining.
Game Theory and Business Strategy: Extensive Form Game Solver Applet: An applet which solves extensive form games (multi-player decision trees).
Genetic Decision Tree Building: An alternative to ID3 method of building decision trees that uses a genetic algorithm.
IBM Systems Journal: A decision-tree-based symbolic rule induction system for text categorization: Full text of the article, 'A decision-tree-based symbolic rule induction system for text categorization' from IBM Systems Journal, a publication in the field of Computers & Technology, is provided free of charge by LookSmart's FindArticles service.
Incremental Decision Tree Induction: ITI (Incremental Tree Inducer) - a program that constructs decision trees automatically from labeled examples.
Information on See5/C5.0: Data Mining Tools See5 and C5.0 - classifiers that are expressed as decision trees or sets of if-then rules.
Meta Decision Trees: 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.
Mind Tools: Decision Tree Analysis: Presents a worked example to explain the theory.
On Growing Better Decision Trees from Data: PhD Thesis - Kolluru Venkata Sreerama Murthy
Overview of Decision Trees: From Howard J. Hamilton's CS Course: Knowledge Discovery in Databases.
SAS - Decision Trees: Advanced analysis model included in SAS Enterprise Miner.
SGI - MLC++: Tree Visualizer: SGI's MineSet Tree Visualizer for viewing decision-trees.
Topics in Machine Learning: Decision Tree Learning: This webpage is intended to supplement Chapter 3: Decision Tree Learning of Tom Mitchell's Machine Learning. It follows the general structure of the chapter, but provides links to pages that elaborate on topics.
TreeAge Software, Inc.: Decision tree analysis software.
Vanguard: Software for management decision analysis.