Title: Detection of e-mail concerning criminal activities using association rule-based decision tree

Authors: S. Appavu, R. Rajaram

Addresses: Department of Information Technology, Thiagarajar College of Engineering, Madurai, India. ' Department of Computer Science and Information Technology, Thiagarajar College of Engineering, Madurai, India

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.

Keywords: data mining; decision trees; association rules; apriori algorithm; e-mail detection; criminal activities; classification; electronic security; digital forensics.

DOI: 10.1504/IJESDF.2007.016863

International Journal of Electronic Security and Digital Forensics, 2007 Vol.1 No.2, pp.131 - 145

Available online: 26 Jan 2008 *

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