TY - GEN
T1 - Visualization and pattern identification in large scale time series data
AU - Holtz, Steve
AU - Valle, Guillermo
AU - Howard, Jessica
AU - Morreale, Patricia
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - data streams
KW - time series data
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=84055189976&partnerID=8YFLogxK
U2 - 10.1109/LDAV.2011.6092333
DO - 10.1109/LDAV.2011.6092333
M3 - Conference contribution
AN - SCOPUS:84055189976
SN - 9781467301541
T3 - 1st IEEE Symposium on Large-Scale Data Analysis and Visualization 2011, LDAV 2011 - Proceedings
SP - 129
EP - 130
BT - 1st IEEE Symposium on Large-Scale Data Analysis and Visualization 2011, LDAV 2011 - Proceedings
T2 - 1st IEEE Symposium on Large-Scale Data Analysis and Visualization 2011, LDAV 2011
Y2 - 23 October 2011 through 24 October 2011
ER -