About this item
- 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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