Learning accurate very fast decision trees from uncertain data streams

DOI10.1080/00207721.2014.895877zbMath1332.62211OpenAlexW1974704576MaRDI QIDQ2792245

Chunquan Liang, Zhengguo Hu, Peng Shi, Yang Zhang

Publication date: 8 March 2016

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2014.895877

zbMATH Keywords

functional tree leafuncertain data streamsuncertain numerical attributesvery fast decision tree

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Control/observation systems with incomplete information (93C41) Statistical decision theory (62C99)

Cites Work

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• On the optimality of the simple Bayesian classifier under zero-one loss
• Learning naive Bayes classifiers from positive and unlabelled examples with uncertainty
• Updating mean and variance estimates
• Modeling support changes in streaming item sets

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