Multilayered perceptron feed forward artificial neural network approach for E-mail classification

By:

NONYELUM, OGWUELEKA FRANCISCA

Material type:

Mixed materialsPublication details: 2013Description: 7-29Subject(s):

COMPUTER SCIENCE

NLM classification:

004.692

In: IUP: JOURNAL OF INFORMATION TECHNOLOGYMSummary: 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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Holdings
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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