• DocumentCode
    1797943
  • Title

    Applications of data mining in online retailing: A case for mining prefix-ordered web site navigation paths

  • Author

    Yeung, W.L.

  • Author_Institution
    Dept. of Comput. & Decision Sci., Lingnan Univ., Hong Kong, China
  • fYear
    2014
  • fDate
    15-17 Nov. 2014
  • Firstpage
    943
  • Lastpage
    947
  • Abstract
    Data mining enables the discovery of frequent navigation patterns on retail web sites which help improve their design. Previous work has often focused on discovering “maximal” navigation patterns without paying much attention to partial navigation attempts. With reference to some discoverable patterns of navigating a hypothetical retail web site, we put forward our case for mining prefixes of frequent web navigation paths.
  • Keywords
    Web sites; data mining; retail data processing; data mining; frequent navigation pattern discovery; hypothetical retail Web site; online retailing; partial navigation attempts; prefix-ordered Web site navigation path mining; retail Web sites; Business; Data mining; Electronic commerce; Knowledge discovery; Navigation; Web sites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2014 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-5457-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2014.7009421
  • Filename
    7009421