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Self-adaption neighborhood density clustering method for mixed data stream with concept drift 期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2020, 卷号: 89, 页码: 14
作者:  Xu, Shuliang;  Feng, Lin;  Liu, Shenglan;  Qiao, Hong
收藏  |  浏览/下载：223/0  |  提交时间：2020/04/07
Data stream  Concept drift  Rough set  Clustering analysis  Neighborhood entropy  
A pdf-Free Change Detection Test Based on Density Difference Estimation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 2, 页码: 324-334
作者:  Bu, Li;  Alippi, Cesare;  Zhao, Dongbin
浏览  |  Adobe PDF(2468Kb)  |  收藏  |  浏览/下载：366/105  |  提交时间：2017/05/04
Concept Drift  Least Squares Density-difference (Lsdd)-based Method  Probability Density Function (Pdf)-free  Three-level Threshold Mechanism  
DE2: Dynamic ensemble of ensembles for learning nonstationary data 期刊论文
NEUROCOMPUTING, 2015, 卷号: 165, 页码: 14-22
作者:  Yin, Xu-Cheng;  Huang, Kaizhu;  Hao, Hong-Wei
收藏  |  浏览/下载：73/0  |  提交时间：2020/10/27
Ensemble Of Ensembles  Growing Ensemble  Sparsity Learning  Nonstationary Environment  Concept Drift  Incremental Learning