• DocumentCode
    2269049
  • Title

    Text spam neural network classification algorithm

  • Author

    Ma, Qiuming ; Qin, Zhiguang ; Zhang, Fengli ; Liu, Qiao

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2010
  • fDate
    28-30 July 2010
  • Firstpage
    466
  • Lastpage
    469
  • Abstract
    In order to effectively filter spam e-mails, this paper introduces a neural network-based spam filtering method, described text feature extraction, text vector generation, neural network classifier model building and testing. Verify through experiments that, choose different learning and training function, the network classification results are very different.
  • Keywords
    feature extraction; information filtering; neural nets; pattern classification; text analysis; unsolicited e-mail; neural network classifier model; spam e-mail filtering method; text feature extraction; text spam neural network classification algorithm; text vector generation; Artificial neural networks; Electronic mail; Feature extraction; Filtering; Neurons; Postal services; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems (ICCCAS), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8224-5
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2010.5581954
  • Filename
    5581954
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2269049