Splitting methods for decision tree induction: An exploration of the relative performance of two entropy-based families

DOI10.1007/s10796-006-8779-8zbMath1184.68420OpenAlexW1979265146MaRDI QIDQ851794

Kweku-Muata Osei-Bryson, Kendall E. Giles

Publication date: 22 November 2006

Published in: Information Systems Frontiers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10796-006-8779-8

zbMATH Keywords

ClassificationMachine learningDecision treesEntropySplitting methods

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (1)

A recursive partitioning tool for interval prediction

Uses Software

• UCI-ml
• C4.5
• AutoClass

Cites Work

• Mathematical Programming for Data Mining: Formulations and Challenges
• Unnamed Item

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