Bayesian filtering is based on the principle that any event is dependent and that the probability of an event occurring in the future can be inferred from the history of occurrences of that event: history is always repeating. Bayesian spam filtering has become a popular mechanism to distinguish illegitimate spam email from legitimate email (sometimes called "ham").
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