Analytic worksheets: a framework to support human analysis of large streaming data volumes

Authors:
Grace Crowder;Sterling Foster;Daniel M. Russell;Malcolm Slaney;Lisa Yanguas
Affiliations:
U.S. Department of Defense, Fort Meade, MD;U.S. Department of Defense, Fort Meade, MD;IBM Almaden Research Center, San Jose, CA;IBM Almaden Research Center, San Jose, CA;IBM Almaden Research Center, San Jose, CA
Venue:
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Year:
2005

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Abstract

Worksheets are a new user-interface framework to support analysis of streaming data by combining streaming data queries with visualization objects in a composable document framework. A worksheet lets users work at human speeds with large quantities of streaming data by creating a persistent, literate, dynamic document that flows data into analysis patterns of filters and visual presentations. The worksheet provides basic support for analysis created, as well as buffering and managing streaming data as it continually arrives.