An ensemble method for concept drift in nonstationary environment

DOI10.1080/00949655.2011.651797zbMath1431.62265OpenAlexW2082395561MaRDI QIDQ2862407

Mohamed Limam, Dhouha Mejri, Riadh Khanchel

Publication date: 15 November 2013

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2011.651797

zbMATH Keywords

concept driftdata streamensemble method

Mathematics Subject Classification ID

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

Related Items (1)

RandGA: injecting randomness into parallel genetic algorithm for variable selection

Uses Software

• UCI-ml

Cites Work

• Unnamed Item
• The weighted majority algorithm
• Fast adaptive algorithms for abrupt change detection
• Learning to detect incidents from noisily labeled data
• An empirical comparison of ensemble methods based on classification trees
• Random forests

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