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In this section you will find external links to many resources on Decision Tree. Please note that there are many types of decision tree (data structure, financial analysis, machine learning) and this resources covers only the machine learning (or data mining) part of decision tree.
Books
Online papers
Software/Codes
Applications
Tutorials
Books
- Machine Learning by Tom M. Mitchell
- Pattern Recognition and Machine Learning by Christopher M. Bishop
- Data Mining: Practical Machine Learning Tools and Techniques by Eibe Frank
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie
- Data Mining with Decision Trees : Theory and Applications (Machine Perception and Artificial Intelligence) by Lior Rokach
- James F. Smith (2002), Data Mining for Fuzzy Decision Tree Structure with a Genetic Program
- Decision Trees for Business Intelligence and Data Mining : Using SAS Enterprise Miner by Barry De Ville
- Classification and Regression Trees by Leo Breiman
Online papers
- Duncan (1979) What is the right organization structure? Decision tree analysis provides the answer
- Patent on Decision Tree
Software/Codes
- ID3 Decision Tree Algorithm in C# by Roosevelt
- ID3 in Common Lisp by Tom M. Mitchell
- Java applet of decision tree is provided by University of Alberta. The code can be downloaded here
- WEKA has many nice implementation of decision tree (ID3, C4.5, Random forest and many more)
- Decision Tree in Perl
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Decision Trees and Predictive Models with cross-validation and ROC analysis plot using
Matlab
by Andrea Padoan
Applications
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Khalid Sheikh,
Using Decision Trees to predict customer behaviour
Tutorials
- Building Decision Trees in Python by Christopher Roach. Check also the
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These tutorial is copyrighted .
Preferable reference for this tutorial is
Teknomo, Kardi. (2009) Tutorial on Decision Tree. http://people.revoledu.com/kardi/tutorial/DecisionTree/