RETRACTED: An improved loci method for outlier detection in fuzzy datasets based on fractional distance metric and outlierness degree-Reference-Cited by-同舟云学术

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RETRACTED: An improved loci method for outlier detection in fuzzy datasets based on fractional distance metric and outlierness degree

Published:2024-04-18 Issue:4 Volume:46 Page:10805-10812
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Hajiloei Mehdi¹,Jahromi Alireza Fakharzadeh¹,Zolmani Somayeh²

Affiliation:

1. Department of OR, Shiraz University of Technology, Iran

2. Department of Mathematics, Faculty of Science, University of PayamNoor Shiraz, Iran

Abstract

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.

Publisher

IOS Press

Reference7 articles.

1. A healthcare quality assessment model based on outlier detection algorithm;Alharbe;Processes,2022

2. A new outlier detection method for high dimensional fuzzy databases based on lof;Fakharzadeh Jahromi;Journal of Mathematical Modeling,2018

3. A loop based outlier detection method for high dimensional fuzzy data set;Fakharzadeh Jahromi;Journal of Intelligent & Fuzzy Systems,2017

4. Improved subspace-based and angle-based outlier detections for fuzzy datasets with a real case study;Jahromi;Journal of Intelligent & Fuzzy Systems,2022

5. Credit card fraud detection using local outlier factor and isolation forest;John;Int. J. Comput. Sci. Eng,2019

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