Building multi-way decision trees with numerical attributes

DOI10.1016/j.ins.2003.09.018zbMath1089.68087OpenAlexW1967148170MaRDI QIDQ707307

Nicolás Marín, Daniel Sánchez, Fernando Berzal, Juan-Carlos Cubero

Publication date: 9 February 2005

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2003.09.018

zbMATH Keywords

ClassificationDecision treesSupervised learningHierarchical clusteringNumerical attributes

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

A hierarchical model for test-cost-sensitive decision systems ⋮ Growing regression tree forests by classification for continuous object pose estimation ⋮ A vector-valued support vector machine model for multiclass problem

Uses Software

• SLIQ
• SPRINT
• C4.5
• RainForest

Cites Work

• ART: A hybrid classification model
• PUBLIC: A decision tree classifier that integrates building and pruning
• Very simple classification rules perform well on most commonly used datasets
• On the quest for easy-to-understand splitting rules
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