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 Learning from Data: Decision Trees - http://www.anc.ed.ac.uk/~amos/lfd/lectures/decisiontree.pdf Lecture about decision trees by Amos Storkey. |
 SGI - MLC++: Tree Visualizer - http://www.sgi.com/tech/mlc/trees.html SGI's MineSet Tree Visualizer for viewing decision-trees. |
 SAS - Decision Trees - http://www.sas.com/technologies/analytics/datamining/miner/dec_trees.html Advanced analysis model included in SAS Enterprise Miner. |
 Mind Tools: Decision Tree Analysis - http://www.mindtools.com/dectree.html Presents a worked example to explain the theory. |
 TreeAge Software, Inc. - http://www.treeage.com Decision tree analysis software. |
 Decision Tree Forests - http://www.dtreg.com/treeforest.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. |
 IBM Systems Journal: A decision-tree-based symbolic rule induction system for text categorization - http://www.findarticles.com/p/articles/mi_m0ISJ/is_3_41/ai_91469715 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 and Technology, is provided free of charge by LookSmart's FindArticles service. |
 Information on See5/C5.0 - http://www.rulequest.com/see5-info.html Data Mining Tools See5 and C5.0 - classifiers that are expressed as decision trees or sets of if-then rules. |
 RainForest - http://www.cs.cornell.edu/johannes/papers/1998/vldb1998-rainforest.pdf A Framework for Fast Decision Tree Construction of Large Datasets |
 Decision Rings: Making Decision Trees Visual & non-Mathematical - http://ite.pubs.informs.org/Vol2No3/Bordley/index.php This paper presents an alternative way of representing and solving the decision tree for nontechnical audiences. |
 Chapter 6 - Decision Trees - http://ai.stanford.edu/people/nilsson/MLDraftBook/ch6-ml.pdf Chapter Six of Introduction to Machine Learning - Notes by Nils J. Nilsson. |
 Decision Tree Primer - http://www.public.asu.edu/~kirkwood/DAStuff/decisiontrees/ Presents methods for analyzing decision trees, including exercises with solutions. |
 Game Theory and Business Strategy: Extensive Form Game Solver Applet - http://www.gametheory.net/Mike/applets/ExtensiveForm/ An applet which solves extensive form games (multi-player decision trees). |
 Genetic Decision Tree Building - http://nand.net/~paras/genetic_decision_trees/ An alternative to ID3 method of building decision trees that uses a genetic algorithm. |
 Decision Trees Tutorial - http://www.autonlab.org/tutorials/dtree.html Tutorial Slides by Andrew Moore. A self-contained introduction to the flavor and terminology of data mining. |
 CRUISE Classification Tree - http://www.stat.wisc.edu/~loh/cruise.html CRUISE is a statistical decision tree algorithm for classification. It is an improved descendant of an older algorithm called FACT. |
 Vanguard - http://www.vanguardsw.com Software for management decision analysis. |
 Clustering vs. DecisionTrees - http://www.clustan.com/clustering_v_decision_trees.html Comparison between the "bottom up" hierarchical clustering approach and "top down" splitting as used in decision tree segmentation. |
 Efficient Decision Tree Construction on Streaming Data - http://www.cse.ohio-state.edu/~agrawal/p/sigkdd03.pdf 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. |
 Decision Tree Analysis Using ODBCMine - http://www.intsysr.com/odbcmine.htm ODBCMine generates decision trees from ODBC databases using the C4.5 data-mining algorithm. |
 Meta Decision Trees - http://ai.ijs.si/bernard/mdts/ 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. |
 Incremental Decision Tree Induction - http://www-lrn.cs.umass.edu/iti/ ITI (Incremental Tree Inducer) - a program that constructs decision trees automatically from labeled examples. |