Visualization and pattern identification in large scale time series data
Document Type
Conference Proceeding
Publication Date
12-26-2011
Abstract
Visualization of massively large datasets presents two significant problems. First, the dataset must be prepared for visualization, and traditional dataset manipulation methods fail due to lack of temporary storage or memory. The second problem is the presentation of the data in the visual media, particularly real-time visualization of streaming time series data. An ongoing research project addresses both these problems, using data from two national repositories. This work is presented here, with the results of the current effort summarized and future plans, including 3D visualization, outlined. © 2011 IEEE.
Publication Title
1st IEEE Symposium on Large-Scale Data Analysis and Visualization 2011, LDAV 2011 - Proceedings
First Page Number
129
Last Page Number
130
DOI
10.1109/LDAV.2011.6092333
Recommended Citation
Holtz, Steve; Valle, Guillermo; Howard, Jessica; and Morreale, Patricia, "Visualization and pattern identification in large scale time series data" (2011). Kean Publications. 2243.
https://digitalcommons.kean.edu/keanpublications/2243