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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.
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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Review
2013
Review
2013
Utilization of Data Mining Techniques for Prediction and Diagnosis of Major Life Threatening Diseases Survivability-Review
K. Lakshmi
,
S.Prem Kumar
2013
Corpus ID: 212603323
— Data mining is defined as shifting through very large amounts of data for useful information. Some of the most important and…
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2012
2012
Performance Evaluation of Predictive Classifiers For Knowledge Discovery From Engineering Materials Data Sets
Doreswamy Doreswamy
,
K. Hemanth
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
Innovative data mining approaches for outcome prediction of trauma patients
E. Theodoraki
,
S. Katsaragakis
,
C. Koukouvinos
,
C. Parpoula
2010
Corpus ID: 21754100
Trauma is the most common cause of death to young people and many of these deaths are preventable [1]. The prediction of trauma…
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2009
2009
Veri madenciliğiânde yapısal olmayan verinin analizi: Metin ve web madenciliği
M. Ö. 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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2001
2001
REMOTE SENSING CLASSIFICATION OF SPECTRAL , SPATIAL AND CONTEXTUAL DATA USING MULTIPLE CLASSIFIER SYSTEMS
O. Debeir
,
Patrice Latinne
,
I. Van
,
Den Steen
2001
Corpus ID: 612055
This study promotesthe useof a multiclassifiersystem(MCS) fed with high-resolutionremote sensingdatacoupledwith contextual and…
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2000
2000
Logical Decision Rules: Teaching C4.5 to Speak Prolog
K. Karimi
,
Howard J. Hamilton
Ideal
2000
Corpus ID: 1645631
It is desirable to automatically learn the effects of actions in an unknown environment. C4.5 has been used to discover…
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Review
1999
Review
1999
An overview of the OASIS speech recognition project
A. Kocsor
,
Kornél Kovács
,
András Kuba
,
L. Tóth
1999
Corpus ID: 2469696
This paper presents an overview of the “OASIS” segment-based speech recognition system developed at the Research Group on…
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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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1997
1997
Data Reliability and Its Effects on Automatic Abstracting
Tadashi Nomoto
,
Yuji Matsumoto
Workshop on Very Large Corpora
1997
Corpus ID: 1857930
We discuss a particular approach to automatic abstracting, where an abstract is created by extracting hnportant sentences from a…
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