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題名:	An intelligent three‐phase spam filtering method based on decision tree data mining
作者:	許志堅
貢獻者:	傳播學院
關鍵詞:	spam;data mining;decision tree
日期:	2016-11
上傳時間:	2018-06-19 15:27:23 (UTC+8)
摘要:	In this paper, we proposed an efficient spamfiltering method based on decision tree data mining technique, analyzed the as-sociation rules about spams, and applied these rules to develop a systematized spamfiltering method. Our method possessedthe following three major superiorities: (i) checking only an e-mail’s header section to avoid the low-operating efficiency inscanning an e-mail’s content. Moreover, the accuracy offiltering was enhanced simultaneously. (ii) In order that the probablemisjudgment in identifying an unknown e-mail could be“reversed”, we had constructed a reversing mechanism to help theclassification of unknown e-mails. Thus, the overall accuracy of ourfiltering method will be increased. (iii) Our method wasequipped with a re-learning mechanism, which utilized the supervised machine learning method to collect and analyze eachmisjudged e-mail. Therefore, the revision information learned from the analysis of misjudged e-mails incrementally gavefeedback to our method, and its ability of identifying spams would be improved.
關聯:	Security and Communication Networks 【SCI-E】, Vol.9, No.17, pp.4013-4026
資料類型:	article
DOI:	10.1002/sec.1584
顯示於類別:	[新聞學系] 期刊論文

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檔案	描述	大小	格式	瀏覽次數
40134026.pdf		912Kb	Adobe PDF2	401	檢視/開啟

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