An Industrial Internet of Things Feature Selection Method Based on Potential Entropy Evaluation Criteria

An Industrial Internet of Things Feature Selection Method Based on Potential Entropy Evaluation Criteria

In recent years, with the rapid development of industrial Internet of Things, the rapid growth of data has become a severe challenge and precious opportunity faced by many industries. The information society has entered the era of big data. Feature selection is frequently used to reduce the number o...

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Bibliographic Details
Main Authors: Long Zhao, Xiangjun Dong
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Feature selection
potential entropy
data field
high classification accuracy
Online Access:https://ieeexplore.ieee.org/document/8276556/

Internet

https://ieeexplore.ieee.org/document/8276556/

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