• DocumentCode
    690591
  • Title

    Information Mining on the Web: E-business Application

  • Author

    Taherdoost, Hamed ; Hosseinkhani, Javad

  • Author_Institution
    Adv. Inf. Sch., Univ. Teknol. Malaysia, Kuala Lumpur, Malaysia
  • fYear
    2013
  • fDate
    23-24 Dec. 2013
  • Firstpage
    500
  • Lastpage
    503
  • Abstract
    At the recent development in the application of Information Communication Technologies (ICT), Internet has been at the forefront. Since, people have been becoming more interested in the Internet and Electronic Businesses (e-business), a growing number of organizations have been already entered or planning to move into e-business. In e-business environment, search engines play an important role because they are efficient methods for customers to find their required and requested products quick. This paper aims to propose a framework to extract the useful information from the business related websites contents that can support search engines to find appropriate services and products.
  • Keywords
    Internet; Web sites; data mining; electronic commerce; information retrieval; search engines; ICT; Information Communication Technologies; Internet; Web; business related Website contents; e-business application; electronic business; information extraction; information mining; search engines; Business; Crawlers; Data models; Internet; Search engines; Web mining; Application; Crowler; E-business; Framework; Information Mining; Search Engine; Web Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Science Applications and Technologies (ACSAT), 2013 International Conference on
  • Conference_Location
    Kuching
  • Type

    conf

  • DOI
    10.1109/ACSAT.2013.104
  • Filename
    6836633