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Online Active Learning for Drifting Data Streams
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Liu, Sanmin
;
Xue, Shan
;
Wu, Jia
;
Zhou, Chuan
;
Yang, Jian
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/04/02
Labeling
Data models
Uncertainty
Biological system modeling
Computational modeling
Cognition
Adaptation models
Active learning
concept drift
data stream classification
online incremental learning
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:19/0
  |  
提交时间:2020/04/07
Data stream
Concept drift
Rough set
Clustering analysis
Neighborhood entropy
Method of Updating Compaction Quality Evaluation Model of Earth-Rock Dam Using Concept Drift Detection
期刊论文
Journal of Tianjin University Science and Technology, 2019, 卷号: Vol.52 No.5, 页码: 492-500
作者:
Wang, J.
;
Zhong, D.
;
Wu, B.
;
Liu, M.
;
Zhang, Z.
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/11/21
Compaction data stream
Compaction quality assessment model
Concept drift detection
Enhanced probabilistic neural network
Model updating
Variable window technology
Selection-based resampling ensemble algorithm for nonstationary imbalanced stream data learning
期刊论文
Knowledge-Based Systems, 2019, 卷号: Vol.163, 页码: 705-722
作者:
Siqi Ren
;
Wen Zhu
;
Bo Liao
;
Zeng Li
;
Peng Wang
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/13
Data
stream
classification
Concept
drift
Class
imbalance
Ensemble
Short-term traffic volume prediction by ensemble learning in concept drifting environments.
期刊论文
Knowledge-Based Systems, 2019, 卷号: Vol.164, 页码: 213-225
作者:
Xiao, Jianhua
;
Xiao, Zhu
;
Wang, Dong
;
Bai, Jing
;
Havyarimana, Vincent
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  |  
浏览/下载:1/0
  |  
提交时间:2019/12/13
Concept drift
Ensemble learning
Incremental regression
Traffic flow prediction
Selection-based resampling ensemble algorithm for nonstationary imbalanced stream data learning.
期刊论文
Knowledge-Based Systems, 2019, 卷号: Vol.163, 页码: 705-722
作者:
Ren, Siqi
;
Zhu, Wen
;
Liao, Bo
;
Li, Zeng
;
Wang, Peng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/13
Class imbalance
Concept drift
Data stream classification
Ensemble
Short-term traffic volume prediction by ensemble learning in concept drifting environments
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2019, 卷号: Vol.164, 页码: 213-225
作者:
Xiao, Jianhua
;
Xiao, Zhu
;
Wang, Dong
;
Bai, Jing
;
Havyarimana, Vincent
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/17
Traffic flow prediction
Incremental regression
Concept drift
Ensemble learning
Short-term traffic volume prediction by ensemble learning in concept drifting environments
期刊论文
Knowledge-Based Systems, 2019, 卷号: Vol.164, 页码: 213-225
作者:
Jianhua Xiao
;
Zhu Xiao
;
Dong Wang
;
Jing Bai
;
Vincent Havyarimana
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/13
Traffic
flow
prediction
Incremental
regression
Concept
drift
Ensemble
learning
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
收藏
  |  
浏览/下载:16/0
  |  
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
A framework for online process concept drift detection from event streams
期刊论文
Proceedings - 2018 IEEE International Conference on Services Computing, SCC 2018 - Part of the 2018 IEEE World Congress on Services, 2018, 页码: 105-112
作者:
Liu, Na
;
Huang, Jiwei
;
Cui, Lizhen
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/11
online process concept drift detection
process change point detection and localization
process mining
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