A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams

A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams

Outlier detection is a statistical procedure that aims to find suspicious events or items that are different from the normal form of a dataset. It has drawn considerable interest in the field of data mining and machine learning. Outlier detection is important in many applications, including fraud de...

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Bibliographic Details
Main Authors: Omar Alghushairy, Raed Alsini, Terence Soule, Xiaogang Ma
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Big Data and Cognitive Computing
Subjects:
outlier detection
data science
local outlier factor
genetic algorithm
stream data mining
Online Access:https://www.mdpi.com/2504-2289/5/1/1

Internet

https://www.mdpi.com/2504-2289/5/1/1

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