Title

Visualization and pattern identification in large scale time series data

Authors

Steve Holtz, Kean University
Guillermo Valle, Kean University
Jessica Howard, Kean University
Patricia Morreale, Kean University

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