ScagnosticsViewer: Tracking time series patterns via scagnostics meatures

Ngan V.T. Nguyen, Bao D.Q. Nguyen, Tommy Dang, Jon Hass

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

Abstract

Visual analytics studies the integration of human perceptional ability and the data exploration process. Besides, high dimensional time series has become more and more popular data in daily applications and various domains. It is essential to study visual techniques for this type of data set. This paper is an applied work that extends successes of the scatterplot matrix (SPLOM) for cross-sectional data to the high dimensional temporal data sets. We have built a web-based application that contains various visual techniques to display the temporal data sets by SPLOM at each snapshot and animate the SPLOM to illustrate the evolution of the data sets. Two real data sets in different domains are utilized to demonstrate the advances of this approach.

Original languageEnglish
Title of host publicationProceedings of the 13th International Symposium on Visual Information Communication and Interaction, VINCI 2020
EditorsQuang Vinh Nguyen, Ying Zhao, Michael Burch, Michel Westenberg
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450387507
DOIs
StatePublished - Dec 8 2020
Event13th International Symposium on Visual Information Communication and Interaction, VINCI 2020 - Virtual, Online, Netherlands
Duration: Dec 8 2020Dec 10 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference13th International Symposium on Visual Information Communication and Interaction, VINCI 2020
CountryNetherlands
CityVirtual, Online
Period12/8/2012/10/20

Keywords

  • scatterplot
  • scatterplot matrix

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