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A Decision Tree is a graphical representation of a procedure for classifying or evaluating an item or task. A decision tree represents a function that maps each element of its domain to an element of its range. Decision trees are often used as a method for making practical inductive inferences.
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SGI - MLC++: Tree Visualizer - SGI's MineSet Tree Visualizer for viewing decision-trees. Mind Tools: Decision Tree Analysis - Presents a worked example to explain the theory. Game Theory and Business Strategy: Extensive Form Game Solver Applet - An applet which solves extensive form games (multi-player decision trees). Incremental Decision Tree Induction - ITI (Incremental Tree Inducer) - a program that constructs decision trees automatically from labeled examples. RainForest - A Framework for Fast Decision Tree Construction of Large Datasets 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. Decision Tree Primer - Presents methods for analyzing decision trees, including exercises with solutions. CRUISE Classification Tree - CRUISE is a statistical decision tree algorithm for classification. It is an improved descendant of an older algorithm called FACT. 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. TreeAge Software, Inc. - Decision tree analysis software. Vanguard - Software for management decision analysis. Decision Trees Tutorial - Tutorial Slides by Andrew Moore. A self-contained introduction to the flavor and terminology of data mining.
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