Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Efficient Algorithm for Handling Dangling Pages Using Hypothetical Node

    154122_154122.pdf (1004.Kb)
    Access Status
    Open access
    Authors
    Singh, Ashutosh Kumar
    Ravi, K.
    Alex, G.
    Date
    2010
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Singh, Ashutosh Kumar and Ravi, Kumar P. and Alex, Goh Kwang Leng. 2010. Efficient Algorithm for Handling Dangling Pages Using Hypothetical Node, in Ko, F. (ed), International Conference on Digital Content, Multimedia Technology and its Applications (IDC), Aug 16 2010, pp. 44-49. Seoul, Korea: IEEE.
    Source Title
    IEEE Proceeding
    Source Conference
    International Conference on Digital Content, Multimedia Technology and its Applications (IDC)
    School
    Curtin Sarawak - Faculty Office
    Remarks

    Copyright © 2010 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/14221
    Collection
    • Curtin Research Publications
    Abstract

    Dangling pages are one of the major drawbacks of page rank algorithm which is used by different search engines to calculate the page rank. The number of these pages increasing with web as the source of knowledge. However search engines are the main tools used in knowledge extraction or Information retrieval from the Web. We proposed an algorithm to handle these pages using a hypothetical node and comparing it with page rank algorithm.

    Related items

    Showing items related by title, author, creator and subject.

    • Web Structure Mining: Exploring Hyperlinks and Algorithms for Information Retrieval
      Kumar, R.; Singh, Ashutosh Kumar (2010)
      Problem statement: A study on hyperlink analysis and the algorithms used for link analysis in the Web Information retrieval was done. Approach: This research was initiated because of the dependability of search engines ...
    • Methods for demoting and detecting Web spam
      Goh, Kwang Leng (2013)
      Web spamming has tremendously subverted the ranking mechanism of information retrieval in Web search engines. It manipulates data source maliciously either by contents or links with the intention of contributing negative ...
    • Bus voltage ranking and voltage stability enhancement for unbalanced multiphase networks
      Juanuwattanakul, Parachai (2012)
      Voltage instabilities and subsequent system collapses are considered as growing concerns in modern multiphase distribution networks as they are progressively forced to operate closer to their stability limits due to many ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.