C4.5 Algorithm
The C4.5 Algorithm is a decision tree learning algorithm that extends the ID3 algorithm by supporting continuous attributes, handling missing data, and applying pruning to improve generalization.
536
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36.1K
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1.5K
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2017–2026
191
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536
Steven L. Salzberg, Alberto M. Segre · 1994 · 5.8K citations
Improved Use of Continuous Attributes in C4.5
J. R. Quinlan · Journal of Artificial Intelligence Research · 1996 · 1.8K citations · Full text
Decision trees: a recent overview
Sotiris Kotsiantis · Artificial Intelligence Review · 2011 · 1.6K citations
Data Mining Concepts and Techniques Third Edition
Jiawei Han, Micheline Kamber, Jian Pei · 2021 · 1.2K citations
Learning Algorithms for Keyphrase Extraction
Peter D. Turney · Information Retrieval · 2000 · 838 citations · Full text
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Universitas Tunas Pembangunan
Surakarta, Indonesia
10 h-index
41 publications
1.7K citations
STIKOM Tunas Bangsa
Pematangsiantar, Indonesia
10 h-index
35 publications
1.4K citations
State University of Semarang
Semarang, Indonesia
7 h-index
18 publications
433 citations
Universiti Putra Malaysia
Seri Kembangan, Malaysia
5 h-index
12 publications
815 citations
Universidade de São Paulo
São Paulo, Brazil
5 h-index
12 publications
256 citations
National Research Council Canada
Ottawa, Canada
4 h-index
4 publications
1.8K citations

Beijing University of Posts and Telecommunications
Beijing, China
4 h-index
13 publications
198 citations

Universitas Gadjah Mada
Yogyakarta, Indonesia
4 h-index
10 publications
265 citations
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17 publications · 984 citations
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15 publications · 540 citations
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6 publications · 278 citations
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TKDE · 6 publications · 917 citations
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5 publications · 150 citations
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