Exploring lekagul sensor events using rules, aggregations, and selections

Bram C.M. Cappers

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

Abstract

In this paper we demonstrate how we can study multivariate event sequences in the VAST Mini Challenge 1 data set using our system Eventpad, a notepad editor for event data. We illustrate the effectiveness of multivariate regular expressions, pattern aggregations, and selections to define custom events of interest, discover patterns within sequences, and study differences between sequences. Finally, we discuss our analysis process and summarize some patterns and anomalies we discovered in the data set.

Original languageEnglish
Title of host publication2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings
EditorsTobias Schreck, Brian Fisher, Shixia Liu
PublisherInstitute of Electrical and Electronics Engineers
Pages193-194
Number of pages2
ISBN (Electronic)9781538631638
DOIs
Publication statusPublished - 21 Dec 2018
Event2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Phoenix, United States
Duration: 1 Oct 20176 Oct 2017

Conference

Conference2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017
CountryUnited States
CityPhoenix
Period1/10/176/10/17

Keywords

  • Event visualization
  • Interaction
  • Multivariate events
  • Regular expressions
  • Sequence alignment

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