• DocumentCode
    1636880
  • Title

    E-Business Social Network Optimization and Visualization

  • Author

    Ibrahim, Siti Nurkhadijah Aishah ; Selamat, Ali ; Selamat, Mohd Hafiz

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Syst., Univ. Teknol. Malaysia, Skudai
  • Volume
    3
  • fYear
    2008
  • Firstpage
    263
  • Lastpage
    268
  • Abstract
    This paper describes about the optimization of the e-business social network visualization after the searching process. Basically, we found that the current e-business web pages having a low quality of connection between each other. It means that the current search engines are not able to search the relevant result and to show the connections between each Web page and how they are related with each other. Thus, we developed the query optimization search system (QOSS) based on genetic algorithm (GA) to solve this problem by visualized and optimized the connection between them. Experimental results demonstrate that it is very effective to improve the search of the relevant Web pages using genetic algorithm.
  • Keywords
    data visualisation; electronic commerce; genetic algorithms; query processing; search engines; Internet; e-business Web crawler; e-business Web page; e-business social network optimization; e-business social network visualization; genetic algorithm; query optimization search system; search engine; Design optimization; Genetic algorithms; Information systems; Internet; Query processing; Search engines; Social network services; Visualization; Web pages; World Wide Web; Genetic Algorithm; Optimization; Social Network; Visualization; Web Crawler;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-0-7695-3382-7
  • Type

    conf

  • DOI
    10.1109/ISDA.2008.184
  • Filename
    4696472