Design and Implementation of Email Filtering Agent by using Clustering Algorithm

	Design and Implementation of Email Filtering Agent by using Clustering Algorithm
journal of kerbala university
Article 1, Volume 5, Issue 2, 2009, Pages 163-172 PDF (0 K)
Abstract
This paper will describe the system of email filtering agent which utilize clustering algorithm that classify the messages into two lists negative and positive according to the features that extracted from each message. The agent will receive emails of its client, along with a set of examples, both similar and dissimilar, in order to develop a sense of what the user requires in his clustering. The agent has the task to group the emails into folders based on the similarity between them in the form of common subjects, common email address.. etc. . In fact, each user decides his own gold standard; in other words a user himself decides as to what he wants to be considered as similar/dissimilar. For example, someone might want his emails to be foldered based on the month of receipt whereas someone else would want the clustering to be done based on subject and content. List emails provide another such example. To implement EMFA system, JAVA language was used. It provides a set of abstract classes defining objects that comprise the E-mail system also supporting the creation of sophisticated user interfaces.

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