Email Classification Using Adaptive Ontologies Learning
Abstract: Email is a way of
communication for the today’s internet world, private and government sector or public
sector all are used email for communication with their clients. They can freely
send number of mail to their client without disturbing them. Now a day email
communication is also a way of advertising, some mail is also spam, lots of
social mails are there. Categorization and handling lots of email is an
important task for the researches, as they all are working in this field by
using the Natural language processing and ontology extraction process. User get
frustrated for handling lots of mails and reading those for finding there is
any important mail, sometime user delete lots of mail without reading and in
that case may be some important mail which contain the important information
may be about meeting, seminar etc. is also deleted. For avoiding these
scenarios here auto updation of schedule calendar procedure is proposed by the
author. Concept extraction and clustering of concept is done based on fuzzy
logic, similar mail pattern is grouped in a same cluster if similarity is less
than threshold value a new cluster is defined for that. From the extracted
concept author establish the relationship between them and generate the result.
Computation overhead is also calculated for different set of mails and finds
that it takes very less time in computing large email data set.
Author: Suma T, Kumara Swamy
Y. S
Journal Code: jptkomputergg160139
