• DocumentCode
    3226485
  • Title

    Exploiting OLAP and data mining for augmenting e-business

  • Author

    Mangla, Monika

  • Author_Institution
    Comput. Dept., Terna Eng. Coll., Mumbai, India
  • fYear
    2009
  • fDate
    22-24 July 2009
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Mushrooming of e-business has been at a swift rate during past decade. In this scenario every day a new e-retailer is entering the world of e-business thus increasing competition in the area. Any e-retailer would be able to sustain in this neck to neck competition if he is capable of attracting new customers along with retaining persistent customers. The data mining techniques, when implemented on the data available with the store is capable of understanding interesting patterns in the transactions made by customers. The paper presented discusses the usage of OLAP and data mining in detecting buying patterns from the data lying with the log files.
  • Keywords
    data mining; electronic commerce; retailing; OLAP; data mining techniques; e-business augmentation; e-retailer; online analytic processing; Association rules; Data analysis; Data engineering; Data mining; Data warehouses; Decision support systems; Educational institutions; Marketing and sales; Neck; Web mining; Association rules; Data mining; Online Analytic Processing (OLAP); e-business; transactions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Agent & Multi-Agent Systems, 2009. IAMA 2009. International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4244-4710-7
  • Type

    conf

  • DOI
    10.1109/IAMA.2009.5228057
  • Filename
    5228057