Active Learning Classifier for Streaming Data

被引：4

作者：

Wozniak, Michal ^{[1
]}

Cyganek, Boguslaw ^{[2
,3
]}

Kasprzak, Andrzej ^{[1
]}

Ksieniewicz, Pawel ^{[1
]}

Walkowiak, Krzysztof ^{[1
]}

机构：

[1] Wroclaw Univ Technol, Fac Elect, Dept Syst & Comp Networks, Wybreze Wyspianskiego 27, PL-50370 Wroclaw, Poland

[2] Wroclaw Univ Technol, ENGINE Ctr, Wybreze Wyspianskiego 27, PL-50370 Wroclaw, Poland

[3] AGH Univ Sci & Technol, Al Mickiewicza 30, PL-30059 Krakow, Poland

来源：

Hybrid Artificial Intelligent Systems | 2016年 / 9648卷

关键词：

Pattern classification; Data stream classification; Active learning;

D O I：

10.1007/978-3-319-32034-2_16

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work reports the research on active learning approach applied to the data stream classification. The chosen characteristics of the proposed frameworks were evaluated on the basis of the wide range of computer experiments carried out on the three benchmark data streams. Obtained results confirmed the usability of proposed method to the data stream classification with the presence of incremental concept drift.

引用

页码：186 / 197

页数：12

共 13 条

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