• DocumentCode
    2626627
  • Title

    Spam detection filter using KNN algorithm and resampling

  • Author

    Firte, Loredana ; Lemnaru, Camelia ; Potolea, Rodica

  • Author_Institution
    Tehnical Univ. of Cluj-Napoca, Cluj-Napoca, Romania
  • fYear
    2010
  • fDate
    26-28 Aug. 2010
  • Firstpage
    27
  • Lastpage
    33
  • Abstract
    Spamming has become a time consuming and expensive problem for which several new directions have been investigated lately. This paper presents a new approach for a spam detection filter. The solution developed is an offline application that uses the k-Nearest Neighbor (kNN) algorithm and a pre-classified email data set for the learning process.
  • Keywords
    e-mail filters; learning (artificial intelligence); pattern classification; sampling methods; unsolicited e-mail; KNN algorithm; email classification; k-nearest neighbor algorithm; learning process; spam detection filter; Classification algorithms; Data mining; Feature extraction; Information filters; Unsolicited electronic mail; filter; kNN; resample; spam;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computer Communication and Processing (ICCP), 2010 IEEE International Conference on
  • Conference_Location
    Cluj-Napoca
  • Print_ISBN
    978-1-4244-8228-3
  • Electronic_ISBN
    978-1-4244-8230-6
  • Type

    conf

  • DOI
    10.1109/ICCP.2010.5606466
  • Filename
    5606466
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2626627