• DocumentCode
    3277192
  • Title

    Data mining pattern valuation in apparel industry E-commerce cloud

  • Author

    Mingli Wu ; Hui Zhang ; Yebai Li

  • Author_Institution
    Coll. of Inf. Eng., North China Univ. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    23-25 May 2013
  • Firstpage
    689
  • Lastpage
    692
  • Abstract
    For B2B (Business to Business) E-commerce systems in cloud environment, we propose a model for mining patterns in multi-databases in this paper. It gets the global pattern by analyzing local patterns globally, and then gets the high-vote pattern and exceptional pattern. Due to the difference between single-database and multi-databases, support in single-database only has local effect. The conception of weight is proposed, affiliating the factor of database itself, to make the pattern more comprehensive and effective.
  • Keywords
    clothing industry; cloud computing; data mining; electronic commerce; B2B e-commerce systems; apparel industry e-commerce cloud; data mining pattern valuation; exceptional pattern; high-vote pattern; multi database; single-database; Databases; Industries; data mining; data pattern; multi-database; weight;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4673-4997-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2013.6615400
  • Filename
    6615400