Abstract
Detection of e-mails about criminal activities using association rule-based decision tree is studied here. Instead of using words, word-relation, that is, association rules from these words, is used for building decision tree. In our experiments, we first preprocess data. We then find out association relations among these words using Rakesh Agrawal et al.'s Apriori algorithm applying objective interestingness measures. These rules are used for training and testing the decision tree-based classification system. A discussion of the result obtained is also given.
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