BOOK-CHAPTER

Comparative Analysis of Decision Tree Algorithms: ID3, C4.5 and Random Forest

Shiju SathyadevanRemya.R. Nair

Year: 2014 Smart innovation, systems and technologies Pages: 549-562   Publisher: Springer Nature
Keywords:
ID3 algorithm Decision tree Data mining Computer science Incremental decision tree Raw data ID3 Decision tree learning Random forest C4.5 algorithm Tree (set theory) Focus (optics) Machine learning Algorithm Artificial intelligence Mathematics Naive Bayes classifier Support vector machine

Metrics

75
Cited By
5.64
FWCI (Field Weighted Citation Impact)
22
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Data Mining Algorithms and Applications
Physical Sciences →  Computer Science →  Information Systems
Rough Sets and Fuzzy Logic
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Imbalanced Data Classification Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

Related Documents

JOURNAL ARTICLE

A comparative study of decision tree ID3 and C4.5

Badr HssinaA. MerbouhaHanane EzzikouriMohammed Erritali

Journal:   International Journal of Advanced Computer Science and Applications Year: 2014 Vol: 4 (2)
© 2026 ScienceGate Book Chapters — All rights reserved.