Research paper

A Framework for Anomaly Detection under Dynamic and Distributed Scenarios

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Title
A Framework for Anomaly Detection under Dynamic and Distributed Scenarios
Content partner
Victoria University of Wellington
Collection
Open Access Victoria University of Wellington
Description

<b>Anomaly Detection is an important aspect of many application domains. It refers to the problem of finding patterns in data that do not conform to expected behaviour. Hence, understanding of expected behaviour well is fundamental to performing effective anomaly detection. However, data profiles constantly evolve in certain domains such as computer networks. In other domains such as traffic monitoring and healthcare, data are distributed and are either too large or there are privacy concerns...

Format
Research paper
Research format
Scholarly text / Thesis
Thesis level
Doctoral
Date created
2021
Creator
Murugaraj Odiathevar
URL
https://figshare.com/articles/thesis/A_Framework_for_Anomaly_Detection_under_Dynamic_and_Distribu...
Related subjects
Other engineering not elsewhere classified / anomaly detection / online / offline / machine learning / bayesian / dynamic / distributed / School: School of Engineering and Computer Science / Engineering not elsewhere classified / Degree Discipline: Engineering / Degree Level: Doctoral / Degree Name: Doctor of Philosophy

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