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C4.5 algorithm
Known as:
C5.0 algorithm
, See5 algorithm
, C5.0
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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 mining
Decision tree learning
Document classification
Entropy (information theory)
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Use of Sub-Aperture Decomposition for Supervised PolSAR Classification in Urban Area
L. Deng
,
Ya-nan Yan
,
Chen Sun
Remote Sensing
2015
Corpus ID: 28258662
A novel approach is proposed for classifying the polarimetric SAR (PolSAR) data by integrating polarimetric decomposition, sub…
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2013
2013
Bank Direct Marketing Based on Neural Network and C5.0 Models
A. Elsalamony
,
M. Elsayad
2013
Corpus ID: 112617735
All bank marketing campaigns are dependent on customers' huge electronic data. The size of these data source is impossible for a…
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2013
2013
How to Compare and Interpret Two Learnt Decision Trees from the Same Domain?
P. Perner
27th International Conference on Advanced…
2013
Corpus ID: 1874264
Data mining methods are widely used across many disciplines to identify patterns, rules or associations among huge volumes of…
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2012
2012
Performance Evaluation of Predictive Classifiers For Knowledge Discovery From Engineering Materials Data Sets
S. HemanthK.
,
Doreswamy
arXiv.org
2012
Corpus ID: 17641522
In this paper, naive Bayesian and C4.5 Decision Tree Classifiers(DTC) are successively applied on materials informatics to…
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2010
2010
Multiclass classifiers vs multiple binary classifiers using filters for feature selection
N. Sánchez-Maroño
,
Amparo Alonso-Betanzos
,
Pablo García-González
,
V. Bolón-Canedo
IEEE International Joint Conference on Neural…
2010
Corpus ID: 16113531
There are two classical approaches for dealing with multiple class data sets: a classifier that can deal directly with them, or…
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2009
2009
Veri madenciliğiânde yapısal olmayan verinin analizi: Metin ve web madenciliği
M. Dolgun
,
T. Özdemir
,
D. Oguz
2009
Corpus ID: 193190969
Verinin buyuk boyutlara ula$mas ve bilgisayar donan mlar n n bu buyuk boyuttaki veriyi depolayarak yuksek kapasitede analiz…
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2009
2009
Automatic image annotation based on decision tree machine learning
Lixing Jiang
,
Jin Hou
,
Zeng Chen
,
Dengsheng Zhang
International Conference on Cyber-Enabled…
2009
Corpus ID: 13979308
With the rapid development of digital imaging technology, image annotation is an important and challenging task in image…
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2007
2007
Knowledge discovery method for deriving conditional probabilities from large datasets
U. Elsilä
2007
Corpus ID: 12258985
In today's world, enormous amounts of data are being collected everyday. Thus, the problems of storing, handling, and utilizing…
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2002
2002
A Framework for Scalable Cost-sensitive Learning Based on Combing Probabilities and Benefits
Wei Fan
,
Haixun Wang
,
Philip S. Yu
,
S. Stolfo
SDM
2002
Corpus ID: 7481719
We present a general framework for scalable cost-sensitive learning based on ensembles of classi ers. To compute ensembles for…
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1997
1997
Experiments in UNIX Command Prediction
Brian D. Davison
,
H. Hirsh
AAAI/IAAI
1997
Corpus ID: 14670323
A good user interface is central to the success of most products. Our research is concerned with improving an interface by making…
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