In-Database Feature Selection Using Rough Set Theory

DOI10.1007/978-3-319-40581-0_32zbMath1455.68048OpenAlexW2492561947MaRDI QIDQ5117223

Frank Beer, Ulrich Bühler

Publication date: 20 August 2020

Published in: Information Processing and Management of Uncertainty in Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-40581-0_32

zbMATH Keywords

SQLrelational algebraknowledge discovery in databasesrough set theoryfeature selectionvariable precision rough setsrelational database systemsconcept approximationin-database analytics

Mathematics Subject Classification ID

Database theory (68P15) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Uses Software

• UCI-ml
• ROSETTA
• Vertica

Cites Work

• ROSETTA
• Variable precision rough set model
• Rough sets
• Transactions on Rough Sets I
• Rough Sets and Current Trends in Computing
• Approximate Boolean Reasoning: Foundations and Applications in Data Mining
• Transactions on Rough Sets III
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