• DocumentCode
    2637044
  • Title

    Evolutionary machine learning for Web mining

  • Author

    Joshi, Amruta ; Todwal, Sapna

  • Author_Institution
    Pune Inst. of Comput. Technol., India
  • Volume
    2
  • fYear
    2003
  • fDate
    15-17 Oct. 2003
  • Firstpage
    693
  • Abstract
    The Internet is an extensive source of information and searching it exhaustively is inefficient in terms of time complexity. Web search is one of the most universal and influential applications on the Internet. A new search mechanism called SmartSeek is introduced. Inspired by machine learning concepts, this new technique employs a genetic algorithm (GA) for adapting to the user´s interests. The system accepts user feedback for fitness evaluation. The mutation operation involved in the process ensures that the search is not confined to a limited domain.
  • Keywords
    Internet; data mining; feedback; genetic algorithms; information retrieval; learning (artificial intelligence); Internet; SmartSeek; Web mining; Web search; evolutionary machine learning; fitness evaluation; genetic algorithm; time complexity; Artificial intelligence; Data mining; Genetic programming; Humans; Internet; Learning systems; Machine learning; Uniform resource locators; Web mining; Web search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
  • Print_ISBN
    0-7803-8162-9
  • Type

    conf

  • DOI
    10.1109/TENCON.2003.1273268
  • Filename
    1273268