Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification

IJCNN, pp.1-8, (2020)

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Abstract

Stream classification methods classify a continuous stream of data as new labelled samples arrive. They often also have to deal with concept drift. This paper focuses on seasonal drift in stream classification, which can be found in many real-world application data sources. Traditional approaches of stream classification consider season...More

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Rakshitha Godahewa
Rakshitha Godahewa
Trevor Yann
Trevor Yann
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