Paper Title
Adaptive Hierarchical Leader Follower with Evolutionary Computing Algorithm for Email Classification

Most of the existing systems categorize the document or email-corpus based on the term similarity by find the document-term relationship. It cannot identify the conceptual similarity or correlation among them. But proposed system focuses on both term wise as well as conceptual wise similarity to find the email statistics to tag the email with suitable type. Categorization of email data is multi fold in proposed system. Major stages of proposed approach are described in the following section. Classification of the emails based on their conceptual similarity rather than blind term wise similarity along with mail header, html content and attachment analysis. Keywords- Email Classification, Adaptive Hierarchical Leader, Dynamic Building of Clusters, Dynamic Selection of Similarity Thresholds.