A Framework for Anomaly Detection under Dynamic and Distributed Scenarios
2021 doctoral thesis by Murugaraj Odiathevar at Victoria University of Wellington
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Summary
A Framework for Anomaly Detection under Dynamic and Distributed Scenarios is a doctoral thesis[1].
Key Facts
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios authored Murugaraj Odiathevar[2].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's instance of is recorded as doctoral thesis[3].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios was published by Open Access Repository Victoria University of Wellington[4].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's copyright license is recorded as Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International[5].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's language of work or name is recorded as English[6].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's language of work or name is recorded as New Zealand English[7].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's country of origin is recorded as New Zealand[8].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios was published on November 11, 2021[9].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's main subject is engineering[10].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's main subject is Bayesian inference[11].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's main subject is machine learning[12].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's main subject is online[13].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's title is recorded as A Framework for Anomaly Detection under Dynamic and Distributed Scenarios[14].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's copyright holder is recorded as Murugaraj Odiathevar[15].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's thesis submitted to is recorded as Victoria University of Wellington[16].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's on focus list of Wikimedia project is recorded as NZThesisProject[17].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's copyright status is recorded as copyrighted[18].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's copyright status is recorded as copyrighted[19].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's thesis committee member is recorded as Winston Seah[20].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's thesis committee member is recorded as Marcus Frean[21].
- A Framework for Anomaly Detection under Dynamic and Distributed Scenarios's thesis submitted for degree is recorded as Doctor of Philosophy[22].
Body
Authorship and Creation
A Framework for Anomaly Detection under Dynamic and Distributed Scenarios authored Murugaraj Odiathevar[2]. It was published by Open Access Repository Victoria University of Wellington[4].
Publication
A Framework for Anomaly Detection under Dynamic and Distributed Scenarios was released on November 11, 2021[9]. Languages include English[6] and New Zealand English[7].
Subject and Themes
Main subjects include engineering[10], Bayesian inference[11], machine learning[12], and online[13].