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Decision Trees (19)
- Top/Computers/Artificial Intelligence/Machine Learning
- Top/Science/Math/Statistics/Bayesian Analysis
CRUISE is a statistical decision tree algorithm for classification. It is an improved descendant of an older algorithm called FACT.
http://www.stat.wisc.edu/~loh/cruise.html
Chapter Six of Introduction to Machine Learning - Notes by Nils J. Nilsson.
http://ai.stanford.edu/people/nilsson/MLDraftBook/ch6-ml.pdf
Comparison between the "bottom up" hierarchical clustering approach and "top down" splitting as used in decision tree segmentation.
http://www.clustan.com/clustering_v_decision_trees.html
ODBCMine generates decision trees from ODBC databases using the C4.5 data-mining algorithm.
http://www.intsysr.com/odbcmine.htm
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.
http://www.dtreg.com/treeforest.htm
Presents methods for analyzing decision trees, including exercises with solutions.
http://www.public.asu.edu/~kirkwood/DAStuff/decisiontrees/
Tutorial Slides by Andrew Moore. A self-contained introduction to the flavor and terminology of data mining.
http://www.autonlab.org/tutorials/dtree.html
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.
http://www.cse.ohio-state.edu/~agrawal/p/sigkdd03.pdf
An applet which solves extensive form games (multi-player decision trees).
http://www.gametheory.net/Mike/applets/ExtensiveForm/
An alternative to ID3 method of building decision trees that uses a genetic algorithm.
http://nand.net/~paras/genetic_decision_trees/
ITI (Incremental Tree Inducer) - a program that constructs decision trees automatically from labeled examples.
http://www-lrn.cs.umass.edu/iti/
Data Mining Tools See5 and C5.0 - classifiers that are expressed as decision trees or sets of if-then rules.
http://www.rulequest.com/see5-info.html
Lecture about decision trees by Amos Storkey.
http://www.anc.ed.ac.uk/~amos/lfd/lectures/decisiontree.pdf
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.
http://ai.ijs.si/bernard/mdts/
Presents a worked example to explain the theory.
http://www.mindtools.com/dectree.html
A Framework for Fast Decision Tree Construction of Large Datasets
http://www.cs.cornell.edu/johannes/papers/1998/vldb1998-rainforest.pdf
SGI's MineSet Tree Visualizer for viewing decision-trees.
http://www.sgi.com/tech/mlc/trees.html
Last Updated: 2007-01-02 16:30:13
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The content of this directory is based on the Open Directory and has been modified by AllMusicSearch.com editors
