- Chapter 6 - Decision Trees - Chapter Six of Introduction to Machine Learning - Notes by Nils J. Nilsson. [PDF]
- 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.
- Efficient Decision Tree Construction on Streaming Data - This paper addresses the problem of decision tree construction in mining streaming data and introduces two new techniques that improve the efficiency of Domingos and Hulten algorithm. [PDF]
- 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.
- Learning from Data: Decision Trees - Lecture about decision trees by Amos Storkey. [PDF]
- 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.
- RainForest - A Framework for Fast Decision Tree Construction of Large Datasets [PDF]
- 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.
