International Journal of Computer Applications
Association rule mining is the most important technique in the field of data mining. It aims at extracting interesting correlation, frequent pattern, association or casual structure among set of item in the transaction database or other data repositories. Association rule mining is used in various areas for example Banking, department stores etc. The paper surveys the most recent existing association rule mining techniques using apriori algorithm. Association rule discovery from large databases is one of the tedious tasks in data mining. Suspicious e-mails are detected in two ways. Informative e-mails and alert e-mails. Informative e-mails give information about past criminal activities and Alert e-mails gives alert about future criminal activities using apriori algorithm.