Outlier detection for partially labeled categorical data based on conditional information entropy-Reference-Cited by-同舟云学术

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Outlier detection for partially labeled categorical data based on conditional information entropy

Published:2024-01 Issue: Volume:164 Page:109086
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Zhao Zhengwei,Wang Rongrong,Huang Dan,Li Zhaowen

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference45 articles.

1. Machine learning for anomaly detection: a systematic review;Nassif;IEEE Access,2021

2. An overview of flowbased anomaly detection;Sharma;Int. J. Commun. Netw. Distrib. Syst.,2018

3. Identification of Outliers;Hawkins,1980

4. Outlier removal for improved source estimation in atmospheric inverse problems;Martinez,2014

5. Pixel-wise anomaly detection in complex driving scenes;Biase;Comput. Vis. Pattern Recognit.,2021

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1. An Unsupervised Fault Warning Method Based on Hybrid Information Gain and a Convolutional Autoencoder for Steam Turbines;Energies;2024-08-18

2. Training data selection using information entropy: Application to heating load modeling of rural residence in northern China;Applied Geophysics;2024-07-10

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