Decision Trees Problem Solving Knowledge Creation

Decision Trees Problem Solving Knowledge Creation

Decision Trees

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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- This paper presents an alternative way of representing and solving the decision tree for nontechnical audiences.
- 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.
- Decision trees provide an effective structure in which alternative decisions and the implications of taking those decisions can be laid down and evaluated. They also help you to form an accurate, balanced picture of the risks and rewards that can result f
- List of references related to Decision Trees by F. Höppner.
- OR-Notes by J. R. Beasley. In many problems chance (or probability) plays an important role. Decision analysis is the general name that is given to techniques for analysing problems containing risk/uncertainty/probabilities. Decision trees are one specifi
- A collection of links about usage of decision trees in machine learning.
- Decision tree page from Wikipedia, the free encyclopedia
- Chapter Six of Introduction to Machine Learning - Notes by Nils J. Nilsson.
- A Framework for Fast Decision Tree Construction of Large Datasets
- An applet which solves extensive form games (multi-player decision trees).
- Presents methods for analyzing decision trees, including exercises with solutions.
- ITI (Incremental Tree Inducer) - a program that constructs decision trees automatically from labeled examples.
- SGI's MineSet Tree Visualizer for viewing decision-trees.
- PhD Thesis - Kolluru Venkata Sreerama Murthy
- Data Mining Tools See5 and C5.0 - classifiers that are expressed as decision trees or sets of if-then rules.
- From Howard J. Hamilton's CS Course: Knowledge Discovery in Databases.
- Add-In for Excel that helps you build a decision tree diagram in an Excel worksheet using dialog boxes.
- Advanced analysis model included in SAS Enterprise Miner.
- 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.
- Tutorial Slides by Andrew Moore. A self-contained introduction to the flavor and terminology of data mining.

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