Unsupervised Drift Detection on High-speed Data Streams-Reference-Cited by-同舟云学术

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Unsupervised Drift Detection on High-speed Data Streams

Published:2020-12-10 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Conference on Big Data (Big Data)
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Author:

Souza Vinicius M. A.,Chowdhury Farhan A.,Mueen Abdullah

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9377717/9377728/09377880.pdf?arnumber=9377880

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A benchmark and survey of fully unsupervised concept drift detectors on real-world data streams;International Journal of Data Science and Analytics;2024-08-27

2. Adaptive Bernstein change detector for high-dimensional data streams;Data Mining and Knowledge Discovery;2024-01-09

3. Effective Density-Based Concept Drift Detection for Evolving Data Streams;Parallel and Distributed Computing, Applications and Technologies;2023-11-29

4. Challenges and Future Research Directions for Stream Clustering;2023 7th International Conference on Trends in Electronics and Informatics (ICOEI);2023-04-11

5. Anforderungsanalyse für ein System zur automatisierten Ereignisdetektion in marinen Umgebungen;Umweltinformationssysteme – Vielfalt, Offenheit, Komplexität;2022

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