• DocumentCode
    3580573
  • Title

    Research and Application of Event Finding based on massive Internet Imagine Tag

  • Author

    Zhao Xinchun

  • Author_Institution
    Guidaojiaotong Polytech. Instituteline, Shenyang, China
  • fYear
    2014
  • Firstpage
    652
  • Lastpage
    656
  • Abstract
    System mainly studies mass events found images from the Internet, this paper focuses on the data label document Flickr to quantify. This paper also implements single-pass clustering algorithm using traditional text clustering. In this paper, achieve three strategies of single-pass clustering algorithm, and analyze and compare the three strategies. Different document order in the event of the discovery process requires traditional events found single-pass clustering algorithm. This paper implements a hot event with a buffer to find a way.
  • Keywords
    Internet; pattern clustering; social networking (online); text analysis; Flickr; data label document; document order; event discovery process; event finding; mass events; massive-Internet imagine tag; single-pass clustering algorithm; text clustering; Algorithm design and analysis; Clustering algorithms; Cost function; Event detection; Fault detection; Internet; Vectors; Flickr; Topic Detection; single-pass clustering algorithm Buffer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6928-9
  • Type

    conf

  • DOI
    10.1109/CICN.2014.145
  • Filename
    7065565