Exploring lekagul sensor events using rules, aggregations, and selections

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

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.

Originele taal-2Engels
Titel2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Proceedings
RedacteurenTobias Schreck, Brian Fisher, Shixia Liu
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's193-194
Aantal pagina's2
ISBN van elektronische versie9781538631638
DOI's
StatusGepubliceerd - 21 dec 2018
Evenement2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017 - Phoenix, Verenigde Staten van Amerika
Duur: 1 okt 20176 okt 2017

Congres

Congres2017 IEEE Conference on Visual Analytics Science and Technology, VAST 2017
LandVerenigde Staten van Amerika
StadPhoenix
Periode1/10/176/10/17

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