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

Raúl Ferreira; Geraldo Zimbrão; Leandro G.M. Alvim

doi:10.1016/j.ins.2019.03.025

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JOURNAL ARTICLE

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

Raúl Ferreira Geraldo Zimbrão Leandro G.M. Alvim

Year: 2019 Journal: Information Sciences Vol: 488 Pages: 219-237 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2019.03.025

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Keywords:

Concept drift Obsolescence Computer science Hyperparameter Latency (audio) Artificial intelligence Machine learning Pattern recognition (psychology) Data stream mining

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Data Stream Mining Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

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

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Citation History

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