Classification of concept drift data streams

被引：0

作者：

Padmalatha, E. ^{[1
]}

Reddy, C. R. K. ^{[2
]}

Rani, B. Padmaja ^{[3
]}

机构：

[1] JNTUH, Hyderabad, Andhra Pradesh, India

[2] CBIT, CSE Dept, Hyderabad, Andhra Pradesh, India

[3] JNTUH, CSE Dept, Hyderabad, Andhra Pradesh, India

来源：

2014 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND APPLICATIONS (ICISA) | 2014年

关键词：

data stream; ensemble; class label; concept drift;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Concept drift has been a very important concept in the realm of data streams. Streaming data may consist of multiple drifting concepts each having its own underlying data distribution. Concept drift occurs when a set of examples has legitimate class labels at one time and has different legitimate labels at another time. This paper provides a comprehensive overview of existing concept -evolution in concept drifting techniques along different dimensions and it provides lucid vision about the ensemble's behavior when dealing with concept drifts.

引用

页数：5

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