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

Autor:	Siqi Yang, Xinyi Jiang, Jiawan Zhang
Rok vydání:	2014
Předmět:	World Wide Web Visual analytics Computer science Analytics business.industry business Text stream Data science Visualization
Zdroj:	IEEE VAST
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ed4b82a153828ab5eb698201eaa06cf7 https://doi.org/10.1109/vast.2014.7042581 Zobrazit plný text záznamu