Fast exhaustive subgroup discovery with numerical target concepts

DOI10.1007/s10618-015-0436-8zbMath1411.68113OpenAlexW2238902321MaRDI QIDQ1741161

Frank Puppe, Martin Atzmueller, Florian Lemmerich

Publication date: 3 May 2019

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-015-0436-8

zbMATH Keywords

algorithmsdata structuresdata miningpruningpattern miningnumerical datasubgroup discovery

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items

For real: a thorough look at numeric attributes in subgroup discovery, Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effects, Identifying consistent statements about numerical data with dispersion-corrected subgroup discovery, Anytime discovery of a diverse set of patterns with Monte Carlo tree search, Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches

Uses Software

• UCI-ml
• JStatCom
• VIKAMINE

Cites Work

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• Mining optimized association rules for numeric attributes
• Exceptional Model Mining
• Machine Learning: ECML 2004
• NON-NORMALITY AND TESTS ON VARIANCES
• Detecting group differences: Mining contrast sets