Carl Steyn

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Anomaly detection comprises the identification of observations which do not follow the expected patterns of the assumed data set. We attempt to simplify the problem of textual anomaly detection by constructing a Multinomial Naïve Bayes classifier and enhancing it with an augmented Expectation Maximization (EM) algorithm. By doing so, we utilize large(More)
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