Abstract
Emails constitute a rich source of a companys information, replacing
fax, letters, phone and memos as the dominant form of inter- and
intra-business communication. An email system is now a place where
task is received, managed and delegated in a company. For small companies,
the backbone of modern business, sieving and analyzing tons of business
emails consume much business time. There are abundant data mining
techniques that can assist email analysis. This paper describes a
web-based approach to parse and mine email logs from a POP3 server
for content information. The email system affords users a computer-aided
tool for decision making. can be associated with diseases with improved
visualizations.
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