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
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;
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
Conference_Location :
Paris, France
DOI :
10.1109/VAST.2014.7042581
