Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test-Reference-Cited by-同舟云学术

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Fast Unsupervised Online Drift Detection Using Incremental Kolmogorov-Smirnov Test

Published:2016-08-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

dos Reis Denis Moreira¹,Flach Peter²,Matwin Stan³,Batista Gustavo⁴

Affiliation:

1. Universidade de São Paulo, São Carlos, Brazil

2. University of Bristol, Bristol, United Kingdom

3. Polish Academy of Sciences, Halifax, Canada

4. ICMC-USP (Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo), São Carlos, Brazil

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2939672.2939836

Reference28 articles.

1. Versatile Decision Trees for Learning Over Multiple Contexts

2. Randomized search trees

4. Learning from Time-Changing Data with Adaptive Windowing

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