Online Feature Selection for Streaming Features Using Self-Adaption Sliding-Window Sampling

Online Feature Selection for Streaming Features Using Self-Adaption Sliding-Window Sampling

In recent years, online feature selection has been a research topic on streaming feature mining, as it can reduce the dimensionality of the streaming features by removing the irrelevant and redundant features in real time. There are many representative research efforts on the online feature selectio...

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Bibliographic Details
Main Authors: Dianlong You, Xindong Wu, Limin Shen, Song Deng, Zhen Chen, Chuan Ma, Qiusheng Lian
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Feature selection
markov blanket
online learning
sliding-window
streaming feature
Online Access:https://ieeexplore.ieee.org/document/8620984/

Internet

https://ieeexplore.ieee.org/document/8620984/

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