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… (More)
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Topic mentions per year

Topic mentions per year

1989-2017
010020019892017

Papers overview

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2009
2009
It is a primary task in the privacy-preserving data mining in the distributed environment how to protect  privacy and at the same… (More)
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Highly Cited
2006
Highly Cited
2006
The identification of network applications through observation of associated packet traffic flows is vital to the areas of… (More)
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Highly Cited
2006
Highly Cited
2006
This paper introduces a new method for learning algorithm evaluation and selection, with empirical results based on… (More)
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Highly Cited
2004
Highly Cited
2004
Text categorization algorithms usually represent documents as bags of words and consequently have to deal with huge numbers of… (More)
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2004
2004
Decision tree is with good comprehensibility while neural network ensemble is with strong generalization ability. These merits… (More)
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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 algorithms to imbalanced classes and… (More)
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Highly Cited
2001
Highly Cited
2001
MOTIVATION The gap between the amount of newly submitted protein data and reliable functional annotation in public databases is… (More)
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Highly Cited
2001
Highly Cited
2001
This work proposes an algorithm for rule discovery called Ant-Miner (Ant Colony-based Data Miner). The goal of Ant-Miner is to… (More)
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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… (More)
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Highly Cited
1993
Highly Cited
1993
 
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