The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 28-427
Full Name: Sadegh Kharazmi
Position: Student
Age: ON
Sex: Male
Address: unit 4 - no 58 - 24th west alley- south allame tabtabaei st. - modiriat bridge-sadat abad - Tehran
Country: IRAN
Tel: 0912-310-8465
Tel prefix: 0098
Fax:
E-mail address: Sadegh.kharazmi@gmail.com
Other E-mails: sa.kharazmi@gmail.com
Title of the Paper: Categorization of Email Based On Bayesian Networks
Authors as they appear in the Paper: Sadegh kharazmi ; Ali Farahmand Nejhad ; Shahab Bayati ; Shahab Behjati
Email addresses of all the authors: sadegh.kharazmi@gmail.com,Armin.farahmand@gmail.com,sh.bayati@modares.ac.ir,sa.kharazmi@gmail.com
Number of paper pages: 10
Abstract: This reports shows a proposed simple approach for email classiffication in to two main categories : spam or legitimate .The main idea of this approach is based on Bayesian network using spanning tree. Nowadays many approaches existed in spam detection area that mentioned in this paper.In Bayesian spanning tree except root node, each node has at most two parent nodes .Also for obtaining a subset of attributes that each of them show a word, we used BST(Bayesian Spanning Tree) method to relevant word selections .After measuring performance based on methods that we used we saw good results .Our expreince shows that emails classifying based on Bayesian Spanning Tree has good comparable accuracy in experience
Keywords: Spam, Spam Email, Bayesian Network, Bayesian Spanning Tree, Data Mining, Performance measures, Classification
EXTENSION of the file: .pdf
Special (Invited) Session: Spam email detection using bayesian spannig tree
Organizer of the Session: 599-123
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IP ADDRESS: 81.90.151.171
