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Decision tree

Known as: Probability tree, Decision graph, Decision-tree 
A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event… 
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Related topics

Related topics

50 relations
Amiga productivity softwareAssociation rule learningBehavior modelBias–variance tradeoff

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2012
Highly Cited
2012
Random Forests and Decision Trees
In this paper, we have compared the classification results of two models i.e. Random Forest and the J48 for classifying twenty… 
Highly Cited
2004
Highly Cited
2004
Naive Bayes vs decision trees in intrusion detection systems
Bayes networks are powerful tools for decision and reasoning under uncertainty. A very simple form of Bayes networks is called… 
Highly Cited
2002
Highly Cited
2002
Building decision tree classifier on private data
This paper studies how to build a decision tree classifier under the following scenario: a database is vertically partitioned… 
Highly Cited
1997
Highly Cited
1997
A Comparative Analysis of Methods for Pruning Decision Trees
In this paper, we address the problem of retrospectively pruning decision trees induced from data, according to a top-down… 
Highly Cited
1997
Highly Cited
1997
Decision Tree Induction Based on Efficient Tree Restructuring
The ability to restructure a decision tree efficiently enables a variety of approaches to decision tree induction that would… 
Review
1997
Review
1997
Simplifying decision trees: A survey
Induced decision trees are an extensively-researched solution to classification tasks. For many practical tasks, the trees… 
Highly Cited
1996
Highly Cited
1996
Learning decision tree classifiers
Inductive inference is the process of moving from concrete examples to general models. In one form, the goal is to learn how to… 
Highly Cited
1994
Highly Cited
1994
Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm
This paper introduces ICET, a new algorithm for cost-sensitive classification. ICET uses a genetic algorithm to evolve a… 
Highly Cited
1992
Highly Cited
1992
On the Handling of Continuous-Valued Attributes in Decision Tree Generation
We present a result applicable to classification learning algorithms that generate decision trees or rules using the information… 
Highly Cited
1986
Highly Cited
1986
Induction of Decision Trees
The technology for building knowledge-based systems by inductive inference from examples has been demonstrated successfully in… 
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