Imbalanced data stream classification method with limited labels

Imbalanced data stream classification method with limited labels

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Data stream classification is a crucial research area within data stream mining, with the core task of swiftly capturing concept drifts from real-time incoming data stream and promptly adjusting classification models. Extreme learning machine possesses advantages such as fast training speeds and exc...

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Bibliographic Details
Main Authors: LI Yanhong, LI Zhihua, ZHENG Jianxing, BAI Hexiang, GUO Xin
Format: Article
Language:zho
Published: China InfoCom Media Group 2025-03-01
Series:大数据
Subjects:
multi-class imbalance
extreme learning machine
concept drift
expensive labeling cost
Online Access:http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2025018
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