• DocumentCode
    2504753
  • Title

    Spam filtering system study based on 2v-SVM

  • Author

    Wang, Anna ; Fan, Weihao ; Wu, Jie ; Shi, Yongyue ; Li, Dan

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    4213
  • Lastpage
    4216
  • Abstract
    A novel spam filtering algorithm based on 2v-SVM is proposed on the basis of researching of existing spam filtering algorithms in the paper. 2v-SVM can address the difficulties that arise when the class frequencies in training data do not accurately reflect the true prior probabilities of the classes, which is more superiority than standard SVM. Experiment results show that this method can effectively improve spam filtering accurateness.
  • Keywords
    e-mail filters; pattern classification; security of data; support vector machines; telecommunication security; unsolicited e-mail; 2v-SVM; class frequencies; spam filtering system; training data; Filtering algorithms; Frequency; Information filtering; Information filters; Internet; Support vector machine classification; Support vector machines; Switches; Training data; Unsolicited electronic mail; 2v-SVM; classification; feature vector; spam filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594517
  • Filename
    4594517
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2504753