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    政大機構典藏 > 傳播學院 > 新聞學系 > 期刊論文 >  Item 140.119/117811
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/117811


    Title: An intelligent three‐phase spam filtering method based on decision tree data mining
    Authors: 許志堅
    Contributors: 傳播學院
    Keywords: spam;data mining;decision tree
    Date: 2016-11
    Issue Date: 2018-06-19 15:27:23 (UTC+8)
    Abstract: 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.
    Relation: Security and Communication Networks 【SCI-E】, Vol.9, No.17, pp.4013-4026
    Data Type: article
    DOI: 10.1002/sec.1584
    Appears in Collections:[新聞學系] 期刊論文

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