On classifier behavior in the presence of mislabeling noise

DOI10.1007/s10618-016-0484-8zbMath1411.68116OpenAlexW2559809785MaRDI QIDQ1741315

Katsiaryna Mirylenka, Le Minh Do, George Giannakopoulos, Themis Palpanas

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/s10618-016-0484-8

zbMATH Keywords

classificationconcept driftclassifier evaluationhandling noisesequential classifiers

Mathematics Subject Classification ID

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

Related Items

Three-way decision-based noise correction for crowdsourcing ⋮ Belief-based chaotic algorithm for support vector data description

Uses Software

• UCI-ml
• WEKA
• MALLET
• AppliedPredictiveModeling

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