• DocumentCode
    228650
  • Title

    A new contrive to evaluate web page ranking

  • Author

    Chaudhary, Reena ; Bhusry, Mamta

  • Author_Institution
    Ajay Kumar Garg Eng. Coll., Ghaziabad, India
  • fYear
    2014
  • fDate
    13-14 Feb. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Web mining or web structure mining, an important application of data mining, is used to handle the complex and diverse data available on the web in the form of structured, semi structured and even unstructured forms. Web mining is applied to extract useful data from the data available on the web which can be further used in many applications. An important application of web mining is the ranking of web pages based on the structure, content and usage. Many algorithms exist for web page ranking and these algorithms are based upon one or more parameters such as forward links, backward links, contents and distance. The efficiency of an algorithm may be based upon the parameters that are applied to determine the ranking of the page. A new algorithm is proposed that determines the page rank based upon multiple parameters and a comparative analysis between the existing and proposed algorithms shows that the proposed algorithm gives better results keeping in view the complexity and execution time of the algorithms.
  • Keywords
    Web sites; data mining; search engines; Web data extraction; Web mining; Web page ranking; algorithm execution time; Classification algorithms; DWPR; Distance Rank; HITS; Page Rank; Web Link Analysis; Weighted Page Rank;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics and Communication Systems (ICECS), 2014 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-2321-2
  • Type

    conf

  • DOI
    10.1109/ECS.2014.6892717
  • Filename
    6892717