• DocumentCode
    119666
  • Title

    ClueMiner: A real-time multi-dimentional visualization system: Vast Challenge 2014: Honorable mention for good support for streaming and forensic analysis

  • Author

    Yang, Siqi ; Jiang, Xinyi ; Zhang, Jiawan

  • Author_Institution
    Visual Analytics Lab, Tianjin University
  • fYear
    2014
  • fDate
    25-31 Oct. 2014
  • Firstpage
    391
  • Lastpage
    392
  • Abstract
    In this paper we briefly describe the tool submitted to the mini-challenge 3 of VAST Challenge 2014. The tool enables users to explore text stream and acquire geographic information in real time without prior knowledge of the data. In addition, we design other tools to assist the author analysis of Twitter. The combination of tools also provides good interaction operation allow users to analyze the Twitter data in real time.
  • Keywords
    H.1.2 [User/Machine Systems]: Visual Analytics; H.5.2 [Information Interfaces and Presentation]: User Interfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
  • Conference_Location
    Paris, France
  • Type

    conf

  • DOI
    10.1109/VAST.2014.7042581
  • Filename
    7042581