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Research on Concept-Drifting Data Stream Based on Fuzzy Integral Ensemble Classifier System

  • Baoju ZhangEmail author
  • Yidi Chen
  • Lei Xue
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 517)

Abstract

With the arrival of the era of big data, a large amount of data stream generates in the real world. However, the existence of concept drift has brought great challenges to data stream classification. Therefore, this paper proposed an ensemble classifier system based on fuzzy integral to solve the above problem. And after the experimental evaluation, we can approve the proposed algorithm outperforms other algorithms in terms of classification performance and the ability to adapt to new concepts efficiently.

Keywords

Data stream Concept drift Fuzzy integral Ensemble classification 

Notes

Acknowledgements.

This paper is supported by the Natural Science Foundation of China (61271411), Natural Youth Science Foundation of China (61501326). It is also supported by Tianjin Research Program of Application Foundation and Advanced Technology (15JCZDJC31500) and Tianjin Science Foundation (16JCYBJC16500).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Tianjin Key Laboratory of Wireless Mobile Communications and Power TransmissionTianjin Normal UniversityTianjinChina

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