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Determining significant messages and users using multi-digraph in enron dataset

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dc.contributor.advisor Guha, Sumanta (Chairperson) en_US
dc.contributor.author Thanittha Niyamosatha en_US
dc.contributor.other Vatcharaporn Esichaikul (Member) en_US
dc.contributor.other Janecek, Paul (Member) en_US
dc.date.accessioned 2015-01-12T10:43:53Z
dc.date.available 2015-01-12T10:43:53Z
dc.date.issued 2010-05 en_US
dc.identifier.other AIT RSPR no.IM-10-01 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/480
dc.description Submitted in partial fulfillment of the requirements for the degree of Masters of Science in Information Management. en_US
dc.description.abstract Today, there are numbers of in-coming and out-going email messages through the mailbox of each user in email system every day. It is difficult for the database administrators to determine the significant messages or email users in email system without knowing the message‟s contents because in the email system contains lots of email data which email dataset called “mail logs” or “logs file”. Enron email dataset is used in this research according to it was made public by the “Federal Energy Regulation Commission (FERC)”. This research study aims to find the significant messages and users in Enron dataset by analyzing email transactions. The two data structures were applied in this research including “multi-digraph” and message‟s flow. Multi-digraph is used to represent the relationship of email users and message‟s flow is used to represent transaction of a message. Finally, apply the Scoring Models to determine significant messages and users. en_US
dc.description.sponsorship Royal Thai Government Fellowship en_US
dc.language.iso eng en_US
dc.publisher Asian Institute of Technology en_US
dc.subject Electronic mail en_US
dc.subject Data filtering en_US
dc.subject Multi-digraph en_US
dc.subject Scoring models en_US
dc.subject.lcsh Others en_US
dc.title Determining significant messages and users using multi-digraph in enron dataset en_US
dc.type Research Report en_US
dc.rights.holder Copyright (C) 2010 by Asian Institute of Technology. en_US


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