Neighborhood hypergraph based classification algorithm for incomplete information system
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Publication:1666460
DOI10.1155/2015/735014zbMath1395.62156OpenAlexW1522526363WikidataQ59119080 ScholiaQ59119080MaRDI QIDQ1666460
Publication date: 27 August 2018
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2015/735014
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of graph theory (05C90) Learning and adaptive systems in artificial intelligence (68T05) Hypergraphs (05C65)
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Uses Software
Cites Work
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- A novel boundary oversampling algorithm based on neighborhood rough set model: NRSBoundary-SMOTE
- Generalized approximations defined by non-equivalence relations
- Rudiments of rough sets
- Boosted Bayesian network classifiers
- An incomplete system of modal logic
- Rough set approach to knowledge-based decision support
- Optimizing area under the ROC curve using semi-supervised learning
- Rough sets
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