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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… 
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Related topics

Related topics

15 relations
Data miningDecision tree learningDocument classificationEntropy (information theory)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Speech Emotion Recognition by Using Combinations of C5.0, Neural Network (NN), and Support Vector Machines (SVM) Classification Methods
Speech is the fastest and most natural method for human to communicate. This has led several researches to be done in the field… 
Highly Cited
2012
Highly Cited
2012
Person identification in surveillance video using gait biometric cues
In this paper, we proposed a novel approach for establishing person identity based on gait cues in surveillance videos using… 
Highly Cited
2011
Highly Cited
2011
A Hybrid Higher Order Neural Classifier for handling classification problems
Highly Cited
2011
Highly Cited
2011
Classifying eye and head movement artifacts in EEG signals
Brain Computer Interfaces has some exciting prospects such as controlling devices at the speed of thought. However BCI technology… 
2011
2011
Comparison of Different Data Mining Techniques to Predict Hospital Length of Stay
In this paper we present the performance analysis of different data mining techniques to predict the inpatient hospital length of… 
2008
2008
A New Credit Scoring Method Based on Rough Sets and Decision Tree
Credit scoring is a very typical classification problem in Data Mining. Many classification methods have been presented in the… 
Highly Cited
2006
Highly Cited
2006
Improving rule sorting, predictive accuracy and training time in associative classification
2003
2003
Polynomial-fuzzy decision tree structures for classifying medical data
1998
1998
Multi-valued functional decomposition as a machine learning method
In the past few years, several authors have presented methods of using functional decomposition as applied to machine learning… 
1995
1995
Exploiting Visualization in Knowledge Discovery
Todate visualization has not been extensively harnessed in knowledge discovery in databases (KDD). In this paper, we show that a… 
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