• DocumentCode
    2664902
  • Title

    Computation on Attribute Importance of Classification Based on Cloud Model

  • Author

    Li Hesong ; Zhang Guangwei ; Li Deyi ; Li Xiangmei

  • Author_Institution
    Beihang Univ., Beijing, China
  • fYear
    2008
  • fDate
    10-12 Dec. 2008
  • Firstpage
    879
  • Lastpage
    883
  • Abstract
    Different condition attributes in classification of data sets often have different importance in relation to the decision attributes. Not all condition attributes are necessary in constructing classification rules, excluding some attributes will not affect the classification results. Thus attribute reduction is an important pre-treatment process in classification mining. It can delete redundant attributes on the basis of maintaining steady classification abilities of decision system. This paper presents a method to calculate data sets similarity based on cloud model.
  • Keywords
    Internet; pattern classification; classification attribute importance; classification mining; classification rules; cloud model; data sets classification; decision system; pretreatment process; Cloud computing; Data engineering; Databases; Educational technology; Entropy; Helium; Position measurement; Systems engineering and theory; Telecommunication computing; Uncertainty; Attribute; Cloud Model; Comparision; Similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    978-0-7695-3514-2
  • Type

    conf

  • DOI
    10.1109/CIMCA.2008.93
  • Filename
    5172741