.png){kind=icon}
返回
Multi-output regression for imbalanced data stream
.png){kind=icon}
OA
AI
DOI：10.1111/exsy.13417.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this article, we describe an imbalanced regression method for making predictions over imbalanced data streams. We present MORSTS (Multiple Output Regression for Streaming Time Series), an online ensemble regressors devoted to non-stationary and imbalanced data streams. MORSTS relies on several multiple output regressor submodels, adopts a cost sensitive weighting technique for dealing with imbalanced datasets, and handles overfitting by means of the K-fold cross validation. For assessment purposes, experiments have been conducted on known real datasets and compared with known base regression techniques.
Keyword:
data streams
imbalanced dataset
multi-output regression
non-stationarity
overfitting
time series
期刊
IF:
2.3
论文数:
2.6K
被引数:
3.8K
机构
引用论文
Obstructive sleep apnea classification based on spectrogram patterns in the electrocardiogram基于心电图谱图模式的阻塞性睡眠呼吸暂停分类
PREAI
分享收藏Review of classical dimensionality reduction and sample selection methods for large-scale data processing.png)
NEUROCOMPUTING
NEUROCOMPUTINGIF6.5
PREAI
分享收藏Arsenic removal from aqueous solutions by adsorption using novel MIL-53(Fe) as a highly efficient adsorbent使用新型MIL-53(Fe) 作为高效吸附剂通过吸附从水溶液中去除砷RSC Advances
RSC AdvancesIF0
PREAI
分享收藏The Effects of Adding Melamine at Different Resin Synthesis Points of Low Mole Ratio Urea-Melamine-Formaldehyde (UMF) ResinsBioResources
OAAI
BioResourcesIF0
OAAI分享收藏Fault Diagnosis and Location Approach of Modular Multilevel Converter Based on Dual One-Dimensional Convolutional Neural Network基于双一维卷积神经网络的模块化多电平变换器故障诊断与定位方法
PREAI
分享收藏
查看更多内容