• DocumentCode
    755403
  • Title

    An Efficient Web Page Change Detection System Based on an Optimized Hungarian Algorithm

  • Author

    Khoury, Imad ; El-Mawas, Rami M. ; El-Rawas, Oussama ; Mounayar, Elias F. ; Artail, Hassan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., American Univ. of Beirut
  • Volume
    19
  • Issue
    5
  • fYear
    2007
  • fDate
    5/1/2007 12:00:00 AM
  • Firstpage
    599
  • Lastpage
    613
  • Abstract
    This paper describes an efficient Web page change detection system based on three optimizations that were implemented on top of the Hungarian algorithm, which we employ to compare trees that correspond to HTML Web pages. The optimizations attempt to stop the comparator algorithm that employs this O(n3) algorithm before it completes all its iterations based on criteria having to do with properties of HTML and heuristics. Analysis and experimental results prove the effectiveness of these optimizations and their ability to render O(n2) performance, where n denotes the number of nodes in the tree. A complete system was implemented and used to carry out the performance experiments. This system includes functionalities and interfaces for processing user requests, fetching Web pages from the Internet, allowing users to select zones in Web pages to monitor, and highlighting changes on the Web pages being monitored
  • Keywords
    Internet; computational complexity; iterative methods; optimisation; HTML; Internet; Web page change detection system; optimized Hungarian algorithm; Bandwidth; Change detection algorithms; HTML; Internet; Monitoring; Performance analysis; Rendering (computer graphics); Student members; Web pages; Wireless application protocol; Hungarian algorithm; Web page; change detection; change monitoring; runtime optimization.;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/TKDE.2007.1014
  • Filename
    4138199