Multilayered perceptron feed forward artificial neural network approach for E-mail classification
NONYELUM, OGWUELEKA FRANCISCA
Multilayered perceptron feed forward artificial neural network approach for E-mail classification - 2013 - 7-29
E-mail messages are originally designed to be sent and accumulated in repository for periodical use which amounts to the details of an event or a meeting's upcoming agenda for a particular organization. These messages range from static organizational knlowledge to conversations and pose a lot of difficulties to users in terms of prioritizing and processing of the contents of both stored and new incoming messages. This research has established a classification model which classifies the accumulated e-mails in the mail inbox known as dataset into four classes : critical, urgent, important and others.
COMPUTER SCIENCE
004.692
Multilayered perceptron feed forward artificial neural network approach for E-mail classification - 2013 - 7-29
E-mail messages are originally designed to be sent and accumulated in repository for periodical use which amounts to the details of an event or a meeting's upcoming agenda for a particular organization. These messages range from static organizational knlowledge to conversations and pose a lot of difficulties to users in terms of prioritizing and processing of the contents of both stored and new incoming messages. This research has established a classification model which classifies the accumulated e-mails in the mail inbox known as dataset into four classes : critical, urgent, important and others.
COMPUTER SCIENCE
004.692