Browsing Faculty of Engineering & Applied Science by Subject "Data mining"
Now showing items 1-2 of 2
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Proposing an ensemble-based model using data clustering and machine learning algorithms for effective predictions
(2019-08-01)One of the most important tasks in machine learning is prediction. Data scientists use various regression methods to find the most appropriate and accurate model applicable for each type of datasets. This study proposes a ... -
User behavior pattern based security provisioning for distributed systems
(2016-01-01)Behaviors of authorized users must be monitored and controlled due to the rise of insider threats. Security analysts in large distributed systems are overwhelmed by the number of system users, the complexity and changing ...