• DocumentCode
    2519889
  • Title

    Hierarchical Classification of Business Information on the Web Using Incremental Learning

  • Author

    Wang, Yi ; Gong, Zhiguo ; Guo, Jingzhi

  • Author_Institution
    Fac. of Sci. & Technol., Univ. of Macau, Macau, China
  • fYear
    2009
  • fDate
    21-23 Oct. 2009
  • Firstpage
    303
  • Lastpage
    309
  • Abstract
    The explosive Web make it hard to organize and manage Web information automatically. Therefore, online learning method such as incremental learning is gradually become effective instrument in practical applications. From our experiments, traditional incremental learning shows some flaws in the iterative process. To overcome the drawback caused by using only support vector to represent the whole former dataset, we embedded some additional information to enhance the effect of support vectors to solve the problem. Our experiment results reveal the proposed algorithm could obtain better results.
  • Keywords
    Internet; business data processing; iterative methods; learning (artificial intelligence); pattern classification; support vector machines; Web information management; business information classification; incremental learning; iterative process; online learning method; support vector machine; Conference management; Electronic commerce; Explosives; Instruments; Learning systems; Machine learning; Partial response channels; Support vector machine classification; Support vector machines; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Business Engineering, 2009. ICEBE '09. IEEE International Conference on
  • Conference_Location
    Macau
  • Print_ISBN
    978-0-7695-3842-6
  • Type

    conf

  • DOI
    10.1109/ICEBE.2009.48
  • Filename
    5342100