A Systematic Study of Online Class Imbalance Learning With Concept Drift

Wang, Shuo1; Minku, Leandro L.2; Yao, Xin1,3

2018-10

10.1109/TNNLS.2017.2771290

IEEE Transactions on Neural Networks and Learning Systems   影响因子和分区

2162-237X

2162-2388

As an emerging research topic, online class imbalance learning often combines the challenges of both class imbalance and concept drift. It deals with data streams having very skewed class distributions, where concept drift may occur. It has recently received increased research attention; however, very little work addresses the combined problem where both class imbalance and concept drift coexist. As the first systematic study of handling concept drift in class-imbalanced data streams, this paper first provides a comprehensive review of current research progress in this field, including current research focuses and open challenges. Then, an in-depth experimental study is performed, with the goal of understanding how to best overcome concept drift in online learning with class imbalance.

Class imbalance concept drift online learning resampling

SCI ; EI

英语

通讯

National Natural Science Foundation of China[61329302]

Computer Science ; Engineering

Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic

WOS:000445351300021

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

20180204628524

Artificial intelligence ; Computer networks

Artificial Intelligence:723.4

Web of Science

1.Univ Birmingham, Sch Comp Sci, Ctr Excellence Res Computat Intelligence & Applic, Birmingham B15 2TT, W Midlands, England
2.Univ Leicester, Dept Informat, Leicester LE1 7RH, Leics, England
3.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen 518055, Peoples R China

Wang, Shuo,Minku, Leandro L.,Yao, Xin. A Systematic Study of Online Class Imbalance Learning With Concept Drift[J]. IEEE Transactions on Neural Networks and Learning Systems,2018,29(10):4802-4821.

Wang, Shuo,Minku, Leandro L.,&Yao, Xin.(2018).A Systematic Study of Online Class Imbalance Learning With Concept Drift.IEEE Transactions on Neural Networks and Learning Systems,29(10),4802-4821.

Wang, Shuo,et al."A Systematic Study of Online Class Imbalance Learning With Concept Drift".IEEE Transactions on Neural Networks and Learning Systems 29.10(2018):4802-4821.