Consistency-guided semi-supervised outlier detection in heterogeneous data using fuzzy rough sets-Reference-Cited by-同舟云学术

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Consistency-guided semi-supervised outlier detection in heterogeneous data using fuzzy rough sets

Published:2024-11 Issue: Volume:165 Page:112070
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Chen Baiyang^ORCID,Yuan Zhong^ORCID,Peng Dezhong,Chen Xiaoliang^ORCID,Chen Hongmei

Publisher

Elsevier BV

Reference53 articles.

1. Fraud detection: A systematic literature review of graph-based anomaly detection approaches;Pourhabibi;Decis. Support Syst.,2020

2. A random approximate reduct-based ensemble learning approach and its application in software defect prediction;Jiang;Inform. Sci.,2022

3. Outlier detection based on Gaussian process with application to industrial processes;Wang;Appl. Soft Comput.,2019

4. Identification of Outliers;Hawkins,1980

5. LOF: identifying density-based local outliers;Breunig;ACM SIGMOD Rec.,2000

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