Online Streaming Feature Selection via Conditional Independence

Online Streaming Feature Selection via Conditional Independence

Online feature selection is a challenging topic in data mining. It aims to reduce the dimensionality of streaming features by removing irrelevant and redundant features in real time. Existing works, such as <i>Alpha-investing</i> and Online Streaming Feature Selection (<i>OSFS</...

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Bibliographic Details
Main Authors: Dianlong You, Xindong Wu, Limin Shen, Yi He, Xu Yuan, Zhen Chen, Song Deng, Chuan Ma
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Applied Sciences
Subjects:
streaming feature
feature selection
conditional independence
markov blanket
Online Access:https://www.mdpi.com/2076-3417/8/12/2548

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https://www.mdpi.com/2076-3417/8/12/2548

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