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

被引：0

作者：

Zhang, Baoju ^{[1
]}

Chen, Yidi ^{[1
]}

Xue, Lei ^{[1
]}

机构：

[1] Tianjin Normal Univ, Tianjin Key Lab Wireless Mobile Commun & Power Tr, Tianjin 300387, Peoples R China

来源：

COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, CSPS 2018, VOL III: SYSTEMS | 2020年 / 517卷

关键词：

Data stream; Concept drift; Fuzzy integral; Ensemble classification;

D O I：

10.1007/978-981-13-6508-9_29

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：225 / 232

页数：8

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