Online feature selection for high-dimensional class-imbalanced data

Knowledge-Based Systems ◽

10.1016/j.knosys.2017.09.006 ◽

2017 ◽

Vol 136 ◽

pp. 187-199 ◽

Author(s):

Peng Zhou ◽

Xuegang Hu ◽

Peipei Li ◽

Xindong Wu

Keyword(s):

Feature Selection ◽

Imbalanced Data ◽

High Dimensional ◽

Online Feature Selection ◽

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Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data

BMC Bioinformatics ◽

10.1186/s12859-020-3411-3 ◽

2020 ◽

Vol 21 (1) ◽

Author(s):

Guang-Hui Fu ◽

Yuan-Jiao Wu ◽

Min-Jie Zong ◽

Jianxin Pan

Keyword(s):

Feature Selection ◽

Imbalanced Data ◽

Hellinger Distance ◽

High Dimensional ◽

Selection For ◽

Sparse Feature Selection

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Large-Scale Online Feature Selection for Ultra-High Dimensional Sparse Data

ACM Transactions on Knowledge Discovery from Data ◽

10.1145/3070646 ◽

2017 ◽

Vol 11 (4) ◽

pp. 1-22 ◽

Author(s):

Yue Wu ◽

Steven C. H. Hoi ◽

Tao Mei ◽

Nenghai Yu

Keyword(s):

Feature Selection ◽

Large Scale ◽

Sparse Data ◽

High Dimensional ◽

Online Feature Selection ◽

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Feature selection for high-dimensional imbalanced data

Neurocomputing ◽

10.1016/j.neucom.2012.04.039 ◽

2013 ◽

Vol 105 ◽

pp. 3-11 ◽

Author(s):

Liuzhi Yin ◽

Yong Ge ◽

Keli Xiao ◽

Xuehua Wang ◽

Xiaojun Quan

Keyword(s):

Feature Selection ◽

Imbalanced Data ◽

High Dimensional ◽

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Feature selection for high-dimensional class-imbalanced data sets using Support Vector Machines

Information Sciences ◽

10.1016/j.ins.2014.07.015 ◽

2014 ◽

Vol 286 ◽

pp. 228-246 ◽

Author(s):

Sebastián Maldonado ◽

Richard Weber ◽

Fazel Famili

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

Imbalanced Data ◽

High Dimensional ◽

Support Vector ◽

Data Sets ◽

Imbalanced Data Sets ◽

Vector Machines ◽

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Data-driven Feature Selection for Long Longitudinal Breadth and High Dimensional Dataset

Proceedings of the 2020 12th International Conference on Machine Learning and Computing ◽

10.1145/3383972.3383992 ◽

2020 ◽

Author(s):

Ji-Han Liu ◽

Cheng-Tse Wu ◽

Ta-Wei Chu ◽

and Jyh-Shing Roger Jang

Keyword(s):

Feature Selection ◽

Data Driven ◽

High Dimensional ◽

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Research of Medical High-Dimensional Imbalanced Data Classification Ensemble Feature Selection Algorithm with Random Forest

2017 International Conference on Smart Grid and Electrical Automation (ICSGEA) ◽

10.1109/icsgea.2017.158 ◽

2017 ◽

Author(s):

Min Zhu ◽

Bo Su ◽

Gangmin Ning

Keyword(s):

Feature Selection ◽

Random Forest ◽

Imbalanced Data ◽

Data Classification ◽

High Dimensional ◽

Selection Algorithm ◽

Feature Selection Algorithm ◽

Imbalanced Data Classification

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Online feature selection for pixel classification

Proceedings of the 22nd international conference on Machine learning - ICML '05 ◽

10.1145/1102351.1102383 ◽

2005 ◽

Author(s):

Karen Glocer ◽

Damian Eads ◽

James Theiler

Keyword(s):

Feature Selection ◽

Pixel Classification ◽

Online Feature Selection ◽

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Clustering-guided particle swarm feature selection algorithm for high-dimensional imbalanced data with missing values

IEEE Transactions on Evolutionary Computation ◽

10.1109/tevc.2021.3106975 ◽

2021 ◽

pp. 1-1

Author(s):

Yong Zhang ◽

Yan-hu Wang ◽

Dun-wei Gong ◽

Xiao-yan Sun

Keyword(s):

Feature Selection ◽

Missing Values ◽

Particle Swarm ◽

Imbalanced Data ◽

High Dimensional ◽

Selection Algorithm ◽

Feature Selection Algorithm

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Online Feature Selection for Multi-Source Streaming Features

Information Sciences ◽

10.1016/j.ins.2022.01.008 ◽

2022 ◽

Author(s):

Dianlong You ◽

Miaomiao Sun ◽

Shunpan Liang ◽

Ruiqi Li ◽

Yang Wang ◽

...

Keyword(s):

Feature Selection ◽

Online Feature Selection ◽

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Incorporating genetic algorithm into rough feature selection for high dimensional biomedical data

2011 IEEE International Symposium on IT in Medicine and Education ◽

10.1109/itime.2011.6132040 ◽

2011 ◽

Author(s):

Vinh Quoc Dang ◽

Chiou-Peng Lam ◽

Chang Su Lee

Keyword(s):

Genetic Algorithm ◽

Feature Selection ◽

High Dimensional ◽

Biomedical Data ◽

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