• DocumentCode
    2646340
  • Title

    A new classification algorithm based on SJEP

  • Author

    Peng, Hong ; Wang, Cong ; Yu, Zong-Xiao

  • Author_Institution
    China Univ. of Min., Mech. & Electr. Eng., Beijing, China
  • Volume
    7
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Abstract
    This paper presents a new algorithm based on SJEP classification (SJEP_Classifier).The classification algorithm makes use of the distinction between JEP powerful capabilities, at the same time using the most effective jump Emerging Patterns (SJEP) as the classification is based on, enhanced the algorithm to noise tolerance, reducing the complexity of the algorithm. Experimental results show that, SJEP_Classifier than the CAB and the C4.5 classification algorithm has higher classification accuracy than JEP_Classifier higher efficiency.
  • Keywords
    pattern classification; tolerance analysis; SJEP classification; complexity reduction; effective jump emerging pattern; noise tolerance; Accuracy; Classification algorithms; Data analysis; Data mining; Noise reduction; Testing; Training data; CBA; Classification Algorithm; Data Mining; JEP; SJEP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6347-3
  • Type

    conf

  • DOI
    10.1109/ICCET.2010.5485266
  • Filename
    5485266