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Data Mining
4 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
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Most implemented papers archive 2025-07-28
4 shown of 4 papers with code (4 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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26 Jun 2025 1 repository listedThe discovery of multiple patient phenotypes for the same medical phenomenon would be useful in such cases.
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17 Sep 2024 1 repository listedThis manuscript introduces Subgroups, an openly accessible Python library designed to ease the use of Subgroup Discovery (SD) algorithms for machine learning and data science.
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29 May 2023 1 repository listedSubgroup Discovery (SD) is a supervised data mining technique for identifying a set of relations (subgroups) among attributes from a dataset with respect to a target attribute.
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28 Nov 2021 1 repository listedMethods: We propose a new unsupervised machine learning technique, denominated as Trace-based clustering, and a 5-step methodology in order to support clinicians when identifying patient phenotypes.
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