Decision Trees Problem Solving Knowledge Creation Knowledge Management

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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• Mind Tools: Decision Tree Analysis - Presents a worked example to explain the theory.
• Genetic Decision Tree Building - An alternative to ID3 method of building decision trees that uses a genetic algorithm.
• Vanguard - Software for management decision analysis.
• SGI - MLC++: Tree Visualizer - SGI's MineSet Tree Visualizer for viewing decision-trees.
• TreeAge Software, Inc. - Decision tree analysis software.
• 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 knowledge creation system for text categorization\\' from IBM Systems Journal, a publication knowledge creation in the field of Computers and Technology, is provided free knowledge creation of charge by LookSmart's FindArticles service.
• CRUISE Classification Tree - CRUISE is a statistical decision tree algorithm for knowledge creation classification. decision trees It is an improved descendant of an knowledge creation older algorithm decision trees called FACT.
• Chapter 6 - Decision Trees - Chapter Six of Introduction to Machine Learning - decision trees Notes by Nils J. Nilsson.[PDF]
• Incremental Decision Tree Induction - ITI (Incremental Tree Inducer) - a program that constructs decision trees automatically from labeled examples.
• Decision Tree Forests - DTREG generates a Decision Tree Forest that is decision trees an problem solving ensemble (collection) of decision trees whose predictions decision trees are combined problem solving to make the overall prediction for decision trees the forest.
• Learning from Data: Decision Trees - Lecture about decision trees by Amos Storkey.[PDF]
• RainForest - A Framework for Fast Decision Tree Construction of Large Datasets[PDF]
• Efficient Decision Tree Construction on Streaming Data - This paper addresses the problem of decision tree problem solving construction problem solving in mining streaming data and introduces two problem solving new techniques problem solving that improve the efficiency of Domingos problem solving and Hulten algorithm.[PDF]
• Decision Tree Analysis Using ODBCMine - ODBCMine generates decision trees from ODBC databases using the C4.5 data-mining algorithm.
• Meta Decision Trees - Meta Decision Trees are a novel method for knowledge creation combining multiple classifiers. MDT leaves specify which base-level knowledge creation classifier should be used, instead of predicting the knowledge creation class value directly.
• Decision Tree Primer - Presents methods for analyzing decision trees, including exercises with solutions.
• Game Theory and Business Strategy: Extensive Form Game Solver Applet - An applet which solves extensive form games (multi-player decision trees decision problem solving trees).
• Information on See5/C5.0 - Data Mining Tools See5 and C5.0 - classifiers that are decision trees expressed as decision trees or sets of if-then rules.
• Clustering vs. DecisionTrees - Comparison between the "bottom up" hierarchical clustering approach decision trees and "top down" splitting as used in decision decision trees tree segmentation.
• Decision Trees Tutorial - Tutorial Slides by Andrew Moore. A self-contained introduction knowledge creation to knowledge creation the flavor and terminology of data mining.

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