Multilayered perceptron feed forward artificial neural network approach for E-mail classification
Material type: Mixed materialsPublication details: 2013Description: 7-29Subject(s): NLM classification:- 004.692
Item type | Current library | Call number | Vol info | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Periodicals/Magazines | SSCBS Library | 8/4 | Available | P14782 |
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.
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