• DocumentCode
    1564352
  • Title

    A Novel Classification Method Based on Data Gravitation

  • Author

    Peng, Lizhi ; Chen, Yuehui ; Yang, Bo ; Chen, Zhenxiang

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Jinan Univ.
  • Volume
    2
  • fYear
    2005
  • Firstpage
    667
  • Lastpage
    672
  • Abstract
    This paper introduced the concept of gravitation and gravitation field into data classification by utilizing analogical inference, and studied the method to calculate data gravitation. Based on the theoretical model of data gravitation and data gravitation field, the paper presented a new classification model called data gravitation based classifier (DGC). The proposed approach was applied to the intrusion detection system (IDS) with 41 inputs (features). Experimental results show that the proposed method was efficient in data classification
  • Keywords
    data mining; inference mechanisms; security of data; analogical inference; data classification method; data gravitation field; intrusion detection system; Clustering algorithms; Data engineering; Decision trees; Electronic mail; Gravity; Information science; Intrusion detection; Neural networks; Support vector machine classification; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9422-4
  • Type

    conf

  • DOI
    10.1109/ICNNB.2005.1614719
  • Filename
    1614719