Complexity of rule sets in mining incomplete data using characteristic sets and generalized maximal consistent blocks

DOI10.1093/JIGPAL/JZAA041OpenAlexW3137571939MaRDI QIDQ5018771

Cheng Gao, Rafal Niemiec, Teresa Mroczek, Patrick G. Clark, Jerzy W. Grzymala-Busse

Publication date: 22 December 2021

Published in: Logic Journal of the IGPL (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/jigpal/jzaa041

zbMATH Keywords

incomplete datacharacteristic setsprobabilistic approximationsmaximal consistent blocksMLEM2 rule induction algorithm

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

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Mining incomplete data using global and saturated probabilistic approximations based on characteristic sets and maximal consistent blocks

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