Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

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
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… 
2010
2010
Ethnic Features extraction and recognition of human faces
Ethnic Facial Feature is one of the most important face features. We create a face database of ethnic groups and extract facial… 
2009
2009
A Dynamic Discretization Approach for Constructing Decision Trees with a Continuous Label
In traditional decision (classification) tree algorithms, the label is assumed to be a categorical (class) variable. When the… 
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
2004
2004
The Application of Emerging Patterns for Improving the Quality of Rare-Class Classification
The classification of rare cases is a challenging problem in many real life applications. The scarcity of the rare cases makes it… 
2003
2003
Boosted ECOC ensembles for face recognition
The error correcting output coding (ECOC) approach to classifier design decomposes a multi-class problem into a set of… 
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… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)