DocumentCode :
3359342
Title :
Model based interactive analysis of interwoven, imprecise narratives: VAST 2010 mini challenge 1 award: Outstanding interaction model
Author :
Chen, V. ; Dunsmuir, D. ; Alimadadi, S. ; Lee, E. ; Guenther, J. ; Dill, J. ; Qian, Chengshan ; Shaw, C.D. ; Stone, M. ; Woodbury, R.
fYear :
2010
fDate :
25-26 Oct. 2010
Firstpage :
275
Lastpage :
276
Abstract :
CZSaw is a visual analytics tool for sense-making across entities, documents, and relations with a focus on supporting the analysis process. It uses a variety of flexible data visualizations to represent and explore networks of entities and relations from different perspectives. CZSaw supports clustering documents and entities into smaller groups to make sense of them and weave individual facts into a complete picture. CZSaw also provides entity refinement functions to support interactive data cleaning. Its dependency propagation mechanism speeds the analysis sense-making loop by automatically synchronizing data and views, and propagating changes to the whole system.
Keywords :
data analysis; data visualisation; document handling; pattern clustering; data cleaning; data visualization; dependency propagation mechanism; document clustering; interwoven; model based interactive analysis; sense making loop; visual analytics tool; Visual analytics; analysis process; intelligence analysis; investigative analysis; sense-making;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2010 IEEE Symposium on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4244-9488-0
Type :
conf
DOI :
10.1109/VAST.2010.5653060
Filename :
5653060
Link To Document :
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