An Investigation of Performance Analysis of Anomaly Detection Techniques for Big Data in SCADA Systems
Mohiuddin Ahmed, Adnan Anwar, Abdun Naser Mahmood, Zubair Shah, Michael J. Maher · EAI Endorsed Transactions on Industrial Networks and Intelligent Systems · 2015
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