Ahmed, Mohiuddin and Anwar, Adnan and Mahmood, Abdun Naser and Shah, Zubair and Maher, Michael J. (2015) An Investigation of Performance Analysis of Anomaly Detection Techniques for Big Data in SCADA Systems. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems.
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Abstract
Anomaly detection is an important aspect of data mining, where the main objective is to identify anomalous
or unusual data from a given dataset. However, there is no formal categorization of application-specific
anomaly detection techniques for big data and this ignites a confusion for the data mi
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 10:27 |
| Last Modified: | 12 Apr 2026 11:00 |
| URI: | http://eprints.eai.eu/id/eprint/12868 |
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