A Proposed Algorithm for Spam Filtering Emails by Hash Table Approach

ABSTRACT:The number of received emails is constantly increasing; as a result, much time is daily spending on filtering and organizing emails. Therefore, a system is needed which is optimally used to classify and manage emails. Different systems and algorithms have been developed by researchers to automatically classify emails as well as decrease spam. In current study, an algorithm is proposed to classify emails and minimize spam using nearest Neighbor classifier (K-NN). This approach involves low computational load in relatively high rate relying on a Hash table as well as a flag varying in the range of {1, 0}.