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Title page for etd-0220108-092920


URN etd-0220108-092920 Statistics This thesis had been viewed 1957 times. Download 28 times.
Author Wen-yu Chen
Author's Email Address No Public.
Department Information Management
Year 2007 Semester 1
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 58
Title Spam Filtering Using Flexible Word Pair
Matching and Back-Propagation Neural Network
Keyword
  • Spam filtering
  • Back-Propagation Neural Network
  • Back-Propagation Neural Network
  • Spam filtering
  • Abstract In this paper we propose a spam filtering method based on different feature extraction, approximate pattern matching, to choose more meaningful lexical combinations. The feature values of each mail are calculated and then feed into Back-Propagation Neural Network to classify as normal or spam mail. Performing experiments on Ling-Spam corpus, the results show that it achieves high precision and recall than several other techniques.
    Advisor Committee
  • Yen-Ju Yang - advisor
  • Files indicate in-campus access only
    Date of Defense 2008-01-22 Date of Submission 2008-02-20


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