The problem of concept drift has gained a lot of attention in recent years. This aspect is key in many domains exhibiting non-stationary as well as cyclic patterns and structural breaks …
Heterogeneous tabular data are the most commonly used form of data and are essential for numerous critical and computationally demanding applications. On homogeneous datasets …
W Zhang, L Deng, L Zhang, D Wu - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Transfer learning (TL) utilizes data or knowledge from one or more source domains to facilitate learning in a target domain. It is particularly useful when the target domain has very …
M Jain, G Kaur, V Saxena - Expert Systems with Applications, 2022 - Elsevier
Today's internet data primarily consists of streamed data from various applications like sensor networks, banking data and telecommunication data networks. A new field of study …
L Yang, A Shami - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
With the wide spread of sensors and smart devices in recent years, the data generation speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems …
With the memory-resource-limited constraints, class-incremental learning (CIL) usually suffers from the “catastrophic forgetting” problem when updating the joint classification …
H Guo, S Zhang, W Wang - Neural Networks, 2021 - Elsevier
Abstract Concept drift is an important issue in the field of streaming data mining. However, how to maintain real-time model convergence in a dynamic environment is an important and …
W Pei, B Xue, M Zhang, L Shang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unbalanced classification is an essential machine learning task, which has attracted widespread attention from both the academic and industrial communities due mainly to its …
H Guo, H Li, Q Ren, W Wang - Information Sciences, 2022 - Elsevier
Abstract Concept drift is a common and important issue in streaming data analysis and mining. Thus far, many concept drift detection methods have been proposed but may not be …