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… (More)
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Papers overview

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Highly Cited
2002
Highly Cited
2002
This paper studies how to build a decision tree classifier under the following scenario: a database is vertically partitioned… (More)
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Highly Cited
1998
Highly Cited
1998
  • Tin Kam Ho
  • IEEE Trans. Pattern Anal. Mach. Intell.
  • 1998
Much of previous attention on decision trees focuses on the splitting criteria and optimization of tree sizes. The dilemma… (More)
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Highly Cited
1997
Highly Cited
1997
The ability to restructure a decision tree efficiently enables a variety of approaches to decision tree induction that would… (More)
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Highly Cited
1996
Highly Cited
1996
Naive Bayes induction algorithms were previously shown to be surprisingly accurate on many classi cation tasks even when the… (More)
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Highly Cited
1994
Highly Cited
1994
In this paper, a new probabilistic tagging method is presented which avoids problems that Markov Model based taggers face, when… (More)
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Highly Cited
1994
Highly Cited
1994
This article describes a new system for induction of oblique decision trees. This system, OC1, combines deterministic hill… (More)
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Highly Cited
1994
Highly Cited
1994
This paper introduces ICET, a new algorithm for cost-sensitive classification. ICET uses a genetic algorithm to evolve a… (More)
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Highly Cited
1992
Highly Cited
1992
We present a result applicable to classification learning algorithms that generate decision trees or rules using the information… (More)
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Highly Cited
1989
Highly Cited
1989
This paper concerns methods for inferring decision trees from examples for classification problems. The reader who is unfamiliar… (More)
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Highly Cited
1989
Highly Cited
1989
This paper compares five methods for pruning decision trees, developed from sets of examples. When used with uncertain rather… (More)
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