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.
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页数：5
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