A survey of cost-sensitive decision tree induction algorithms

DOI10.1145/2431211.2431215zbMath1293.68232OpenAlexW2005530589MaRDI QIDQ2875106

Susan Lomax, Sunil Vadera

Publication date: 13 August 2014

Published in: ACM Computing Surveys (Search for Journal in Brave)

Full work available at URL: http://usir.salford.ac.uk/id/eprint/18927/1/LomaxandVaderaCompSurvey2011.pdf

zbMATH Keywords

data miningcost-sensitive learningdecision tree learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Research exposition (monographs, survey articles) pertaining to computer science (68-02)

Related Items (5)

Learning ELM-tree from big data based on uncertainty reduction ⋮ Cost-sensitive ensemble learning: a unifying framework ⋮ Unification: A case-study in data refinement ⋮ Algorithms for learning parsimonious context trees ⋮ Using POMDPs for learning cost sensitive decision trees

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