Distance Functions and Normalization Under Stream Scenarios-Reference-Cited by-同舟云学术

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Distance Functions and Normalization Under Stream Scenarios

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Barboza Eduardo V. L.¹,de Almeida Paulo R. Lisboa¹,de Souza Britto Alceu²,Cruz Rafael M. O.³

Affiliation:

1. Universidade Federal do Paraná,Department of Informatics,Curitiba (PR),Brazil

2. Graduate Program in Informatics, Pontífica Universidade Católica do Paraná,Curitiba (PR),Brazil

3. École de Technologie Supérieure, Université du Québec,Montréal (QC),Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191283.pdf?arnumber=10191283

Reference24 articles.

1. The choice of scaling technique matters for classification performance

2. Detecting concept drift in data streams using model explanation

3. Adapting dynamic classifier selection for concept drift

4. A streaming ensemble algorithm (SEA) for large-scale classification

5. How k-nearest neighbor parameters affect its performance;batista;4th Argentine Symposium on Artificial Intelligence,2009

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