| Autor: |
John Dill, Chris Shaw, Saba Alimadadi, Robert Woodbury, Cheryl Z. Qian, Dustin Dunsmuir, Maureen Stone, Eric Lee, Victor Zitian Chen, Jeffrey Guenther |
| Rok vydání: |
2010 |
| Předmět: |
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| Zdroj: |
IEEE VAST |
| DOI: |
10.1109/vast.2010.5653060 |
| Popis: |
CZSaw [1] 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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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