Inhibitory rules in data analysis. A rough set approach

DOI10.1007/978-3-540-85638-2zbMath1157.68054OpenAlexW3202817114MaRDI QIDQ938640

Pawel Delimata, Andrzej Skowron, Mikhail Ju. Moshkov, Zbigniew Suraj

Publication date: 27 August 2008

Published in: Studies in Computational Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-85638-2

zbMATH Keywords

decision rulesinformation systemassociation rulesinhibitory decision ruleslazy classificationpartial covers

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.) (68U35) Research exposition (monographs, survey articles) pertaining to computer science (68-02) General topics in artificial intelligence (68T01)

Related Items (4)

Multi-stage optimization of decision and inhibitory trees for decision tables with many-valued decisions ⋮ On Irreducible Descriptive Sets of Attributes for Information Systems ⋮ Rough Sets: From Rudiments to Challenges ⋮ Applications of rough sets in big data analysis: an overview

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