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C4.5 algorithm

Known as: C5.0 algorithm, See5 algorithm, C5.0 
C4.5 is an algorithm used to generate a decision tree developed by Ross Quinlan. C4.5 is an extension of Quinlan's earlier ID3 algorithm. The… Expand
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Papers overview

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Highly Cited
2003
Highly Cited
2003
This paper takes a new look at two sampling schemes commonly used to adapt machine learning algorithms to imbalanced classes and… Expand
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Highly Cited
2003
Highly Cited
2003
Data engineering is generally considered to be a central issue in the development of data mining applications. The success of… Expand
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Highly Cited
2002
Highly Cited
2002
An approach to the construction of classifiers from imbalanced datasets is described. A dataset is imbalanced if the… Expand
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Highly Cited
2002
Highly Cited
2002
We present an analytic evaluation of the runtime behavior of the C4.5 algorithm which highlights some efficiency improvements… Expand
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Highly Cited
2000
Highly Cited
2000
Many academic journals ask their authors to provide a list of about five to fifteen keywords, to appear on the first page of each… Expand
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Highly Cited
1997
Highly Cited
1997
Abstract In the feature subset selection problem, a learning algorithm is faced with the problem of selecting a relevant subset… Expand
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Highly Cited
1997
Highly Cited
1997
Recent work in supervised learning has shown that a surprisingly simple Bayesian classifier with strong assumptions of… Expand
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Highly Cited
1996
Highly Cited
1996
A reported weakness of C4.5 in domains with continuous attributes is addressed by modifying the formation and evaluation of tests… Expand
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Highly Cited
1996
Highly Cited
1996
Breiman's bagging and Freund and Schapire's boosting are recent methods for improving the predictive power of classifier learning… Expand
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Highly Cited
1992
Highly Cited
1992
From the Publisher: Classifier systems play a major role in machine learning and knowledge-based systems, and Ross Quinlan's… Expand
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