• DocumentCode
    2105292
  • Title

    Event Importance Analysis Based on Directed Graph

  • Author

    Zhi Huilai ; Liu Zongtian

  • Author_Institution
    Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    451
  • Lastpage
    454
  • Abstract
    Research shows that event is the storage unit of human proposition memory. Some events determine other events´ beginning and ending, which means these events are in a superior position while others in an inferior position. So, it is meaningful to mining the difference between all these events. In order to do this, an event description model based on directed graph is given, which depicts the relationship between events. Based on this model, importance of event is calculated. The calculation is iterative process, which is proved to be convergent to a fix-point. Finally, a cased is given, and the performance of the calculation process is analyzed.
  • Keywords
    directed graphs; information retrieval; iterative methods; directed graph; event description model; event importance analysis; human proposition memory; iterative process; Application software; Artificial intelligence; Calculus; Humans; Information analysis; Information retrieval; Information technology; Joining processes; Performance analysis; Directed graph; Event; Importance; Markov process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3505-0
  • Type

    conf

  • DOI
    10.1109/IITA.Workshops.2008.140
  • Filename
    4731975