Towards enhancing unsupervised anomaly detection by improving complexity, dimensionality and class-boundary properties

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Towards enhancing unsupervised anomaly detection by improving complexity, dimensionality and class-boundary properties

Any observation that follows a pattern other than the expected one, i.e., the normal behaviour, is considered abnormal behaviour (also known as an anomaly). Abnormal behaviour is witnessed in various areas— for instance, a previously unseen high temperature during winter in a naturally cold environm...

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Bibliographic Details
Main Author:	Babaei, Kasra
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2022
Subjects:	anomaly detection point anomalies contextual anomalies collective anomalies
Online Access:	https://eprints.nottingham.ac.uk/67116/

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