Visualization and pattern identification in large scale time series data

Steve Holtz, Guillermo Valle, Jessica Howard, Patricia Morreale

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

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.

Original languageEnglish
Title of host publication1st IEEE Symposium on Large-Scale Data Analysis and Visualization 2011, LDAV 2011 - Proceedings
Pages129-130
Number of pages2
DOIs
StatePublished - 2011
Event1st IEEE Symposium on Large-Scale Data Analysis and Visualization 2011, LDAV 2011 - Providence, RI, United States
Duration: 23 Oct 201124 Oct 2011

Publication series

Name1st IEEE Symposium on Large-Scale Data Analysis and Visualization 2011, LDAV 2011 - Proceedings

Conference

Conference1st IEEE Symposium on Large-Scale Data Analysis and Visualization 2011, LDAV 2011
Country/TerritoryUnited States
CityProvidence, RI
Period23/10/1124/10/11

Keywords

  • data streams
  • time series data
  • Visualization

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