Title :
Interactive querying of temporal data using a comic strip metaphor
Author :
Jin, Jing ; Szekely, Pedro
Author_Institution :
Inf. Sci. Inst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
Finding patterns in temporal data is an important data analysis task in many domains. Static visualizations can help users easily see certain instances of patterns, but are not specially designed to support systematic analysis tasks, such as finding all instances of a pattern automatically. VizPattern is an interactive visual query environment that uses a comic strip metaphor to enable users to easily and quickly define and locate complex temporal patterns. Evaluations provide evidence that VizPattern is applicable in many domains, and that it enables a wide variety of users to answer questions about temporal data faster and with fewer errors than existing state-of-the-art visual analysis systems.
Keywords :
data analysis; data visualisation; pattern recognition; query processing; VizPattern; comic strip metaphor; data analysis; interactive querying; static visualization; temporal data; temporal pattern; visual analysis; Data analysis; Data visualization; Pain; Stomach; Strips; Time series analysis; Visualization; H.3.3 [Information Systems]: Information Search and Retrieval-Query formulation; H.5.2 [Information Interfaces and Presentation]: User Interface-User-centered design;
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
Electronic_ISBN :
978-1-4244-9487-3
DOI :
10.1109/VAST.2010.5652890