AMANDA: Semi-supervised density-based adaptive model for non-stationary data with extreme verification latency.

Raul Sena Ferreira,Geraldo Zimbrão,Leandro G. M. Alvim

Information Sciences（2019）

引用 20|浏览9

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摘要

•Two semi-supervised methods for gradual concept-drift.•A method that learns under extreme verification latency scenarios.•A new density based method for concept drift.•Up to 27.98% improvement over state-of-the-art methods for synthetic datasets and real ones.

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关键词

Semi-supervised learning,Concept drift,Core support extraction,Non-stationary environments,Extreme verification latency

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