• DocumentCode
    3291035
  • Title

    Application of Information Technology in Enterprise E-Commerce Based on Grey Relational Clustering and Data Mining

  • Author

    Qu Zhiming

  • Author_Institution
    Sch. of Civil Eng., Hebei Univ. of Eng., Handan, China
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    7
  • Lastpage
    10
  • Abstract
    Mining the implicit laws of poor information in the database is the important problems which need to be solved presently. Clustering analysis plays very important role in mining the data. The grey trend relation (GTR) clustering involved in the grey trend relation system is a good way to find the poor information in order to find the useful information to make decision, which is also an implement and development in data mining. Combining with the grey trend relation and using the general mathematical system theory, the GTR system model are setup. Through analyzing the data of sale system, it is can be seen that some different commodities in sale increment are similar and there are a few of different classification. Comparing with the real sale records, it is found that the results by the GTR clustering are in keeping with the investigation in the sale system.
  • Keywords
    data mining; electronic commerce; pattern clustering; clustering analysis; data mining; enterprise e-commerce; grey relational clustering; grey trend relation clustering; information technology; Artificial intelligence; Civil engineering; Data analysis; Data engineering; Data mining; Delta modulation; Information technology; Marketing and sales; Mathematical model; Relational databases; data mining; grey relation; grey trend relation clustering; information technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Mining and Web-based Application, 2009. WMWA '09. Second Pacific-Asia Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3646-0
  • Type

    conf

  • DOI
    10.1109/WMWA.2009.20
  • Filename
    5232455