Classification of E-mail with Artificial Neural Network and Supervised Learning

Email classification is the technique to group and manage email messages. To gain knowledge by learning through training data is one of the rare field of email classification. Classification of Email system is considered as an extremely intelligent system because it can perform tasks like human brain. This paper proposes email classification system based on neural network using Back Propagation Technique (BPT).During past few years email users have increased so volume of email messages has also increased and hence many problems are getting generated like unstructured mail boxes, email overload, unprioritized email messages etc. These problems can be overcome by Email Classification. An optimized technique for classification of Email is accomplished by distinguishing the characteristics of spam and non-spam that is been acquired from trained data set. These extracted features of spam and non-spam are then combined to make a single detector, therefore reducing the false rate.